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2026

[2026

MedPAO: A Protocol-Driven Agent for Structuring Medical Reports

Shrish Shrinath Vaidya , Gowthamaan Palani , Sidharth Ramesh & more

Lecture Notes in Computer Science, p. 33-45](https://wsai.iitm.ac.in/publications/medpao-a-protocol-driven-agent-for-structuring-medical-reports-in-qiu-64/)

2025

[2025

Causality in Bandits: A Survey

Chandrasekar Subramanian , Balaraman Ravindran

ACM Computing Surveys, vol. 57, no. 12, p. 1-30](https://wsai.iitm.ac.in/publications/causality-in-bandits-a-survey-86/)

[2025

Modelling reliable metabolic phenotypes by analysing the context-specific transcriptomics data

Pavan Kumar S , Nirav Pravinbhai Bhatt

npj Systems Biology and Applications, vol. 11, no. 1](https://wsai.iitm.ac.in/publications/modelling-reliable-metabolic-phenotypes-by-analysing-the-context-specific-transcriptomics-data-80/)

[2025

STREAMS guidelines: standards for technical reporting in environmental and host-associated microbiome studies

Julia M. Kelliher , Chloe Mirzayi , Sarah R. Bordenstein & more

Nature Microbiology, vol. 10, no. 12, p. 3059-3068](https://wsai.iitm.ac.in/publications/streams-guidelines-standards-for-technical-reporting-in-environmental-and-host-associated-microbiome-studies-84/)

[2025

Metagenomic profiling of municipal drinking water microbiomes in an Indian city: Insights into diversity, water quality, and AMR potential

Vikas Kumar , Shradha Sharma , Kaomud Tyagi & more

Journal of Environmental Chemical Engineering, vol. 13, no. 6, p. 119959](https://wsai.iitm.ac.in/publications/metagenomic-profiling-of-municipal-drinking-water-microbiomes-in-an-indian-city-insights-into-diversity-water-quality-66/)

[2025

Active fault tolerant active vibration dual-mode Model Predictive Control for a smart flexible beam

A.R. Prashant , Arun K. Tangirala , C. Lakshmana Rao & more

Control Engineering Practice, vol. 165, p. 106535](https://wsai.iitm.ac.in/publications/active-fault-tolerant-active-vibration-dual-mode-model-predictive-control-for-a-smart-flexible-beam-60/)

[2025

Transformers with sparse attention for granger causality

Riya Mahesh , Rahul Vashisht , Chandrashekar Lakshminarayanan

Discover Data, vol. 3, no. 1](https://wsai.iitm.ac.in/publications/transformers-with-sparse-attention-for-granger-causality-61/)

[2025

Harnessing machine learning for metagenomic data analysis: trends and applications

Shradha Sharma , Hari Priya Narahari , Karthik Raman

mSystems, vol. 10, no. 11](https://wsai.iitm.ac.in/publications/raman-k-0-harnessing-machine-learning-for-metagenomic-data-analysis-trends-and-applications-67/)

[2025

Design and Implementation of Power Management Systems for Scaled-Down Autonomous Electric Vehicles

Subhadeep Kumar , Ramkrishna Pasumarthy , Nirav P. Bhatt

Unmanned Systems, p. 1-16](https://wsai.iitm.ac.in/publications/design-and-implementation-of-power-management-systems-for-scaled-down-autonomous-electric-vehicles-71/)

[2025

Delineating markers of disease-disease interaction: a systematic methodology and its application to multiple diabetes-helminth cohorts

Nilesh Subramanian , Philge Philip , Anuradha Rajamanickam & more

BMC Bioinformatics, vol. 26, no. 1](https://wsai.iitm.ac.in/publications/a-et-al-delineating-markers-of-disease-disease-interaction-a-systematic-methodology-and-its-application-to-multiple-d-74/)

[2025

Fundamental diagram parameters in mixed traffic conditions: measurement methods and models

Aathira K. Das , Bhargava Rama Chilukuri

Transportation Letters, p. 1-22](https://wsai.iitm.ac.in/publications/fundamental-diagram-parameters-in-mixed-traffic-conditions-measurement-methods-and-models-transportation-letters-75/)

[2025

Is green algae polysaccharide a ‘green path’ to health?

Sammueal Ong Jun Kai , Matthew Myint , Chee Fan Tan & more

Algal Research, vol. 91, p. 104268](https://wsai.iitm.ac.in/publications/is-green-algae-polysaccharide-a-green-path-to-health-73/)

[2025

A Primer on Pretrained Multilingual Language Models

Sumanth Doddapaneni , Gowtham Ramesh , Mitesh Khapra & more

ACM Computing Surveys, vol. 57, no. 9, p. 1-39](https://wsai.iitm.ac.in/publications/a-primer-on-pretrained-multilingual-language-models-85/)

[2025

Decoding microbial diversity, biogeochemical functions, and interaction potentials in red sea hydrothermal vents

Sharifah Altalhi , Júnia Schultz , Tahira Jamil & more

Environmental Microbiome, vol. 20, no. 1](https://wsai.iitm.ac.in/publications/and-interaction-potentials-in-red-sea-hydrothermal-vents-68/)

[2025

A drop-out mechanism for active learning based on one-attribute heuristics

Sriram Ravichandran , Nandan Sudarsanam , Balaraman Ravindran & more

Frontiers in Artificial Intelligence, vol. 8](https://wsai.iitm.ac.in/publications/k-v-a-drop-out-mechanism-for-active-learning-based-on-one-attribute-heuristics-58/)

[2025

Model maintenance, monitoring, and control framework using In-Situ NIR spectroscopy and offline process data for Lactococcus lactis fermentation

Keerthana Chandrasekaran , Kamakshi Chandrasekaran , Guhan Jayaraman & more

Chemical Engineering Journal, vol. 519, p. 165116](https://wsai.iitm.ac.in/publications/and-control-framework-using-in-situ-nir-spectroscopy-and-offline-process-data-for-lactococcus-lactis-fermentation-72/)

[2025

Differential polyamine metabolism in CHO cell lines: Insights into cell growth and antibody quality

Da Eun Kang , Deepikka Senthilkumar , Jae Hong Jeon & more

New Biotechnology, vol. 88, p. 100-113](https://wsai.iitm.ac.in/publications/differential-polyamine-metabolism-in-cho-cell-lines-insights-into-cell-growth-and-antibody-quality-44/)

[2025

Interaction of genetic variants activates latent metabolic pathways in yeast

Srijith Sasikumar , Shannara Taylor Parkins , Suresh Sudarsan & more

Nature Communications, vol. 16, no. 1](https://wsai.iitm.ac.in/publications/interaction-of-genetic-variants-activates-latent-metabolic-pathways-in-yeast-54/)

[2025

Performance Evaluation of ChaosFortress Lightweight Cryptographic Algorithm for Data Security in Water and Other Utility Management

Rohit Raphael , Ranjan Sarukkalige , Sridharakumar Narasimhan & more

Sensors, vol. 25, no. 16, p. 5103](https://wsai.iitm.ac.in/publications/performance-evaluation-of-chaosfortress-lightweight-cryptographic-algorithm-for-data-security-in-water-and-other-util-78/)

[2025

An integrated systems biology approach establishes arginine biosynthesis as a metabolic weakness in Candida albicans during host infection

Shuvechha Chakraborty , Indumathi Palanikumar , Yash Gune & more

Cell Communication and Signaling, vol. 23, no. 1](https://wsai.iitm.ac.in/publications/an-integrated-systems-biology-approach-establishes-arginine-biosynthesis-as-a-metabolic-weakness-in-candida-albicans-70/)

[2025

ThermOptCobra: Thermodynamically optimal construction and analysis of metabolic networks for reliable phenotype predictions

Pavan Kumar S , Nirav Pravinbhai Bhatt

iScience, vol. 28, no. 8, p. 113005](https://wsai.iitm.ac.in/publications/thermoptcobra-thermodynamically-optimal-construction-and-analysis-of-metabolic-networks-for-reliable-phenotype-predic-57/)

[2025

CIAMS: clustering indices-based automatic classification model selection

Sudarsun Santhiappan , Nitin Shravan , Balaraman Ravindran

International Journal of Data Science and Analytics, vol. 20, no. 2, p. 549-571](https://wsai.iitm.ac.in/publications/ciams-clustering-indices-based-automatic/)

[2025

Line Conversation Graphs for Effective Emotion Recognition Using Graph Neural Networks

Gokul S Krishnan , Sarala Padi , Craig S. Greenberg & more

IEEE Transactions on Affective Computing](https://wsai.iitm.ac.in/publications/line-conversation-graphs/)

[2025

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

Maximilian Zenk , Ujjwal Baid , Sarthak Pati & more

Nature Communications, vol. 16, no. 1](https://wsai.iitm.ac.in/publications/towards-fair-decentralized-benchmarking-of-healthcare-ai-algorithms-with-the-federated-tumor-segmentation-fets-challe-83/)

[2025

GViNC: an innovative framework for genome graph comparison reveals hidden patterns in the genetic diversity of human populations

Venkatesh Kamaraj , Ayam Gupta , Karthik Raman & more

NAR Genomics and Bioinformatics, vol. 7, no. 3](https://wsai.iitm.ac.in/publications/gvinc-an-innovative-framework-for-genome-graph-comparison-reveals-hidden-patterns-in-the-genetic-diversity-of-human-p-69/)

[2025

LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition Using Graph Neural Networks

Gokul S Krishnan , Sarala Padi , Craig S. Greenberg & more

IEEE Transactions on Affective Computing, vol. 16, no. 3, p. 1747-1759](https://wsai.iitm.ac.in/publications/linecongraphs-line-conversation-graphs-for-effective-emotion-recognition-using-graph-neural-networks-37/)

[2025

Characterizing the Effect of Volume on Hydrodynamics of Plant Cell Suspensions Using CFD Modeling

Vidya Muthulakshmi Manickavasagam , Kameswararao Anupindi , Nirav Bhatt & more

Biotechnology Journal, vol. 20, no. 7](https://wsai.iitm.ac.in/publications/characterizing-the-effect-of-volume-on-hydrodynamics-of-plant-cell-suspensions-using-cfd-modeling-56/)

[2025

Multifunctional combustion-synthesized nano-ceria: insights into ex-vivo goat cartilage tissue internalization and bioimaging

Hema Brindha Masanam , Ashwin Kumar Narasimhan , Ganapathy Krishnamurthi & more

Nano Express, vol. 6, no. 2, p. 025003](https://wsai.iitm.ac.in/publications/multifunctional-combustion-synthesized-nano-ceria-insights-into-ex-vivo-goat-cartilage-tissue-internalization-and-bio-43/)

[2025

A Hybrid Interpolation ACA Accelerated Method for Parabolic Boundary Integral Operators

Sivaram Ambikasaran , Ritesh Khan , Johannes Tausch & more

SIAM Journal on Scientific Computing, vol. 47, no. 3, p. A1507-A1526](https://wsai.iitm.ac.in/publications/a-hybrid-interpolation-aca-accelerated-method-for-parabolic-boundary-integral-operators-51/)

[2025

IoT enabled smart water metering using multi sensor data and machine learning techniques

Mallikarjun Jamadarkhani , Rohit Raphael , Sri Hari Prasath Ramprasad & more

Frontiers in Water, vol. 7](https://wsai.iitm.ac.in/publications/iot-enabled-smart-water-metering-using-multi-sensor-data-and-machine-learning-techniques-50/)

[2025

Amogh Gulati, Ashwin Sankar, Srija Anand, Anirudh Gupta, Anirudh Mukherjee, Shiva Kumar Marepally, Ankur Bhatia, Saloni Jaju, Suvrat Bhooshan, Mitesh M. Khapra, Rethinking MUSHRA: Addressing Modern Challenges in Text-to-Speech Evaluation

Praveen Srinivasa Varadhan

TMLR 2024](https://wsai.iitm.ac.in/publications/amogh-gulati-ashwin-sankar-srija-anand-anirudh-gupta-anirudh-mukherjee-shiva-kumar-marepally-ankur-bhatia-saloni-jaju-87/)

[2025

COmmunity and Single Microbe Optimisation System (COSMOS)

Lavanya Raajaraam , Karthik Raman

npj Systems Biology and Applications, vol. 11, no. 1](https://wsai.iitm.ac.in/publications/community-and-single-microbe-optimisation-system-cosmos-49/)

[2025

Genome-scale metabolic modelling identifies reactions mediated by SNP-SNP interactions associated with yeast sporulation

Srijith Sasikumar , S Pavan Kumar , Nirav Pravinbhai Bhatt & more

npj Systems Biology and Applications, vol. 11, no. 1](https://wsai.iitm.ac.in/publications/genome-scale-metabolic-modelling-identifies-reactions-mediated-by-snp-snp-interactions-associated-with-yeast-sporulat-48/)

[2025

Genomic insights into novel extremotolerant bacteria isolated from the NASA Phoenix mission spacecraft assembly cleanrooms

Júnia Schultz , Tahira Jamil , Pratyay Sengupta & more

Microbiome, vol. 13, no. 1](https://wsai.iitm.ac.in/publications/genomic-insights-into-novel-extremotolerant-bacteria-isolated-from-the-nasa-phoenix-mission-spacecraft-assembly-clean-47/)

[2025

Functional control of network dynamical systems: An information theoretic approach

Moirangthem Sailash Singh , Ramkrishna Pasumarthy , Umesh Vaidya & more

Information Sciences, vol. 699, p. 121781](https://wsai.iitm.ac.in/publications/functional-control-of-network-dynamical-systems-an-information-theoretic-approach-45/)

[2025

LExT: Towards Evaluating Trustworthiness of Natural Language Explanations

Krithi Shailya , Shreya Rajpal , Gokul S Krishnan & more

arXiv](https://wsai.iitm.ac.in/publications/lext-trustworthiness/)

[2025

Mobility as a Resource (MaaR) for Resilient Human-Centric Automation – A Vision Paper

S. Travis Waller , Amalia Polydoropoulou , Leandros Tassiulas & more

Data Science for Transportation, vol. 7, no. 1](https://wsai.iitm.ac.in/publications/mobility-as-a-resource-maar-for-resilient-human-centric-automation-a-vision-paper-30/)

[2025

Mapping genetic diversity with the GenomeIndia project

Chandrika Bhattacharyya , Krithika Subramanian , Bharathram Uppili & more

Nature Genetics, vol. 57, no. 4, p. 767-773](https://wsai.iitm.ac.in/publications/mapping-genetic-diversity-with-the-genomeindia-project-42/)

[2025

A LIDAR-based Traffic Data Classification Framework for Indian Urban Traffic

Prajwal Shettigar J , Arun K Tangirala , Lelitha Devi Vanajakshi

International Journal of Intelligent Transportation Systems Research, vol. 23, no. 1, p. 61-75](https://wsai.iitm.ac.in/publications/a-lidar-based-traffic-data-classification-framework-for-indian-urban-traffic-24/)

[2025

Demixer: a probabilistic generative model to delineate different strains of a microbial species in a mixed infection sample

Brintha VP , Manikandan Narayanan

Bioinformatics, vol. 41, no. 4](https://wsai.iitm.ac.in/publications/demixer-a-probabilistic-generative-model-to-delineate-different-strains-of-a-microbial-species-in-a-mixed-infection-s-55/)

[2025

Characterizing the effect of impeller design in plant cell fermentations using CFD modeling

Vidya Muthulakshmi Manickavasagam , Kameswararao Anupindi , Nirav Bhatt & more

Scientific Reports, vol. 15, no. 1](https://wsai.iitm.ac.in/publications/characterizing-the-effect-of-impeller-design-in-plant-cell-fermentations-using-cfd-modeling-41/)

[2025

Parameterized algorithms for the Steiner arborescence problem on a hypercube

Sugyani Mahapatra , Manikandan Narayanan , N. S. Narayanaswamy

Acta Informatica, vol. 62, no. 1](https://wsai.iitm.ac.in/publications/n-s-parameterized-algorithms-for-the-steiner-arborescence-problem-on-a-hypercube-52/)

[2025

Rapid kinetic modelling of reaction systems from spectroscopic data in flow reactors

Manokaran Veeramani , Sreeja Shanmuga Doss , Sridharakumar Narasimhan & more

Chemical Engineering Science, vol. 304, p. 121055](https://wsai.iitm.ac.in/publications/rapid-kinetic-modelling-of-reaction-systems-from-spectroscopic-data-in-flow-reactors-39/)

[2025

Approximate linear programming for decentralized policy iteration in cooperative multi-agent Markov decision processes

Lakshmi Mandal , Chandrashekar Lakshminarayanan , Shalabh Bhatnagar

Systems & Control Letters, vol. 196, p. 106003](https://wsai.iitm.ac.in/publications/approximate-linear-programming-for-decentralized-policy-iteration-in-cooperative-multi-agent-markov-decision-processe-81/)

[2025

Gowthamaan Palani, Ganapathy Krishnamurthi, Efficient Knowledge Distillation of SAM for Medical Image Segmentation

Kunal Dasharath Patil

Astrophysics data system](https://wsai.iitm.ac.in/publications/gowthamaan-palani-ganapathy-krishnamurthi-efficient-knowledge-distillation-of-sam-for-medical-image-segmentation-36/)

[2025

Neobacillus driksii sp. nov. isolated from a Mars 2020 spacecraft assembly facility and genomic potential for lasso peptide production in Neobacillus

Asif Hameed , Francesca McDonagh , Pratyay Sengupta & more

Microbiology Spectrum, vol. 13, no. 1](https://wsai.iitm.ac.in/publications/venkateswaran-k-0-neobacillus-driksii-sp-nov-isolated-from-a-mars-2020-spacecraft-assembly-facility-and-genomic-poten-28/)

[2025

Systematic literature review – unpacking values. How values change over time and link with personality traits and behaviours

Sameer Mehta , Rahul R. Marathe , Balaraman Ravindran & more

Journal of Beliefs & Values, vol. 46, no. 1, p. 1-14](https://wsai.iitm.ac.in/publications/systematic-literature-review-unpacking-values-how-values-change-over-time-and-link-with-personality-traits-and-behavi-40/)

[2025

Reusability report: Deep learning-based analysis of images and spectroscopy data with AtomAI

Pragalbh Vashishtha , Hitesh Gupta Kattamuri , Nikhil Thawari & more

Nature Machine Intelligence, vol. 7, no. 1, p. 79-84](https://wsai.iitm.ac.in/publications/reusability-report-deep-learning-based-analysis-of-images-and-spectroscopy-data-with-atomai-32/)

[2025

Vision-based Lane Detection in Scaled-Down Testbed: A Comprehensive Pipeline with Experimental Insights

Vasumathi Raman , Subhadeep Kumar , Aayush Ranawat & more

IFAC-PapersOnLine, vol. 59, no. 30, p. 623-628](https://wsai.iitm.ac.in/publications/vision-based-lane-detection-in-scaled-down-testbed-a-comprehensive-pipeline-with-experimental-insights-93/)

[2025

Unsupervised Deep Learning Algorithm for Artifact Reduction in X-Ray CT Reconstruction From Truncated Data

Rohit Kalla , Balaji Srinivasan , Ganapathy Krishnamurthi

IEEE Access, vol. 13, p. 175292-175308](https://wsai.iitm.ac.in/publications/unsupervised-deep-learning-algorithm-for-artifact-reduction-in-x-ray-ct-reconstruction-from-truncated-data-63/)

[2025

Integrating Model‐Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation

Karthik Raman , Rukmini Kumar , Cynthia J. Musante & more

Clinical and Translational Science, vol. 18, no. 1](https://wsai.iitm.ac.in/publications/integrating-modelinformed-drug-development-with-ai-a-synergistic-approach-to-accelerating-pharmaceutical-innovation-34/)

[2025

Economic Model Predictive Control for Water Distribution Networks

Shasank Govindarajan , Sumanth Srinivas Parthasarathy , Dhruva Sundararajan & more

IFAC-PapersOnLine, vol. 59, no. 33, p. 50-55](https://wsai.iitm.ac.in/publications/economic-model-predictive-control-for-water-distribution-networks-90/)

[2025

Continuous-Time Heavy-Ball Gradient Method: Safety, Stability and Robustness

Karthik Shenoy , Arun D. Mahindrakar , Umesh Vaidya

IEEE Control Systems Letters, vol. 9, p. 120-125](https://wsai.iitm.ac.in/publications/continuous-time-heavy-ball-gradient-method-safety-stability-and-robustness-46/)

[2025

Continuous and discrete operation of water distribution networks with demand nodes at dissimilar heads

Tarak Das , Varghese Kurian , Sridharakumar Narasimhan

IFAC-PapersOnLine, vol. 59, no. 33, p. 82-86](https://wsai.iitm.ac.in/publications/continuous-and-discrete-operation-of-water-distribution-networks-with-demand-nodes-at-dissimilar-heads-89/)

[2025

A Deep Learning Model for Automatic Data Collection of Road Characteristics

Shubha Bamney , Gitakrishnan Ramadurai

Transportation Research Procedia, vol. 82, p. 3680-3689](https://wsai.iitm.ac.in/publications/a-deep-learning-model-for-automatic-data-collection-of-road-characteristics-31/)

2024

[2024

Radiomics for differentiating adenocarcinoma and squamous cell carcinoma in non-small cell lung cancer beyond nodule morphology in chest CT

Minmini Selvam , Abjasree Sadanandan , Anupama Chandrasekharan & more

Scientific Reports, vol. 14, no. 1](https://wsai.iitm.ac.in/publications/radiomics-for-differentiating-adenocarcinoma-and-squamous-cell-carcinoma-in-non-small-cell-lung-cancer-beyond-nodule-62/)

[2024

Causal contextual bandits with one-shot data integration

Chandrasekar Subramanian , Balaraman Ravindran

Frontiers in Artificial Intelligence, vol. 7](https://wsai.iitm.ac.in/publications/causal-contextual-bandits-with-one-shot-data-integration-29/)

[2024

HODLR3D: hierarchical matrices for N-body problems in three dimensions

Kandappan V. A , Vaishnavi Gujjula , Sivaram Ambikasaran

Numerical Algorithms, vol. 97, no. 4, p. 1635-1672](https://wsai.iitm.ac.in/publications/hodlr3d-hierarchical-matrices-or-n-body-problems/)

[2024

Antibody glycan quality predicted from CHO cell culture media markers and machine learning

Meiyappan Lakshmanan , Sean Chia , Kuin Tian Pang & more

Computational and Structural Biotechnology Journal, vol. 23, p. 2497-2506](https://wsai.iitm.ac.in/publications/antibody-glycan-quality-predicted-from-cho/)

[2024

Consistent Multiclass Algorithms for Complex Metrics and Constraints

Harikrishna Narasimhan , Harish G. Ramaswamy , Shiv Kumar Tavker & more

Journal of Machine Learning Research](https://wsai.iitm.ac.in/publications/consistent-multiclass-algorithms-for-complex-metrics-and-constraints-27/)

[2024

Active learning with human heuristics: an algorithm robust to labeling bias

Sriram Ravichandran , Nandan Sudarsanam , Balaraman Ravindran & more

Frontiers in Artificial Intelligence, vol. 7](https://wsai.iitm.ac.in/publications/active-learning-with-human-heuristics-an-algorithm-robust-to-labeling-bias-26/)

[2024

Genome‐Scale Modeling of CHO Cells Unravel the Critical Role of Asparagine in Cell Culture Feed Media

Kuin Tian Pang , Yi Fan Hong , Fumi Shozui & more

Biotechnology Journal, vol. 19, no. 11](https://wsai.iitm.ac.in/publications/genome-scale-modeling-of-cho-cells-unravel-the-critical-role-of-asparagine-in-cell-culture-feed-media-25/)

[2024

Event-Triggered Control for Nonlinear Systems With Center Manifolds

Akshit Saradagi , Vijay Muralidharan , Arun D. Mahindrakar & more

IEEE Transactions on Automatic Control, vol. 69, no. 10, p. 7051-7058](https://wsai.iitm.ac.in/publications/event-triggered-control-for-nonlinear-systems-with-center-manifolds/)

[2024

Multi-Agent Learning of Efficient Fulfilment and Routing Strategies in E-Commerce

Omkar Shelke, Pranavi Pathakota, Anandsingh Chauhan, Hardik Meisheri, Harshad Khadilkar and Balaraman Ravindran

To appear in NeurIPS 2023 Workshop on Generalization in Planning](https://wsai.iitm.ac.in/publications/multi-agent-learning-of-efficient/)

[2024

Efficient and Near-Optimal Noise Generation for Streaming Differential Privacy

Krishnamurthy Dvijotham, H. Brendan McMahan, Krishna Pillutla, Thomas Steinke, Abhradeep Thakurta](https://wsai.iitm.ac.in/publications/efficient-and-near-optimal-noise-generation/)

[2024

Distributionally Robust Optimization with Bias and Variance Reduction

Ronak Mehta, Vincent Roulet, Krishna Pillutla, Zaid Harchaoui

ICLR (2024) Spotlight Presentation](https://wsai.iitm.ac.in/publications/distributionally-robust-optimization/)

[2024

Data Driven Monitoring of IOT enabled Water Distribution Networks

R. Raphael and S. Narasimhan

2nd WDSA/CCWI Joint Conference, Valencia, Spain, Jun. 2022](https://wsai.iitm.ac.in/publications/data-driven-monitoring-of-iot/)

[2024

Correlated Noise Provably Beats Independent Noise for Differentially Private Learning

Christopher Choquette-Choo*, Krishnamurthy Dvijotham*, Krishna Pillutla*, Arun Ganesh, Thomas Steinke, Abhradeep Thakurta

ICLR (2024)](https://wsai.iitm.ac.in/publications/correlated-noise-provably-beats-independent/)

[2024

Asymptotic Stabilization of Passive Nonlinear Systems with Finite Countable Control Actions: Mixed Switching – Nearest Action Control

Arvind Ragghav V, Muhammad Zaki Almuzakki, Bayu Jayawardhana, Arun Mahindrakar

European Control Conference, Stockholm, 2024](https://wsai.iitm.ac.in/publications/asymptotic-stabilization-of-passive-nonlinear-systems-with-finite-countable-control-actions/)

[2024

An Event-Triggered Adaptive Quantized Feedback Control for LTI Systems

Arvind Ragghav V, Arun Mahindrakar

European Control Conference, Stockholm, 2024](https://wsai.iitm.ac.in/publications/event-triggered-adaptive-quantized-feedback-control/)

[2024

Panera: A novel framework for surmounting uncertainty in microbial community modelling using Pan-genera metabolic models

Indumathi Palanikumar , Himanshu Sinha , Karthik Raman

iScience, Volume 27, Issue 7110358 July 19, 2024](https://wsai.iitm.ac.in/publications/novel-framework-for-surmounting-uncertainty/)

[2024

MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning

Aravind Venugopal, Stephanie Milani, Fei Fang and Balaraman Ravindran

AAMAS 2024](https://wsai.iitm.ac.in/publications/bi-level-latent-variable-world-model-for-sample-efficient/)

[2024

HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched with Attributes and Layers

Naganand Yadati, Tarun Kumar, Deepak Maurya, Balaraman Ravindran, and Partha Talukdar

To appear in the Proceedings of LoG 2023](https://wsai.iitm.ac.in/publications/heal-unlocking-the-potential-of-learning-on-hypergraphs/)

[2024

Understanding flux switching in metabolic networks through an analysis of synthetic lethals

Sowmya Manojna Narasimha , Tanisha Malpani , Omkar S. Mohite & more

npj Systems Biology and Applications, vol. 10, no. 1](https://wsai.iitm.ac.in/publications/o-s-et-al-understanding-flux-switching-in-metabolic-networks-through-an-analysis-of-synthetic-lethals-21/)

[2024

Experimental Validation of Graph Theory-Based Leak Detection Algorithm

Lisa Saboo , Subhashree Baskaran , Rohit Raphael & more

The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024), p. 90](https://wsai.iitm.ac.in/publications/experimental-validation-of-graph-theory-based-leak/)

[2024

Cloud-Based Control and Monitoring of Water Distribution Network Using Free Spectrum Communication Protocols

Rohit Raphael , Sri Hari Prasath Ramprasad , Sridharakumar Narasimhan

The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024), p. 71](https://wsai.iitm.ac.in/publications/cloud-based--controland-monitoring-of-wdn-using-free-spectrum/)

[2024

Driving towards digital biomanufacturing by CHO genome-scale models

Seo-Young Park , Dong-Hyuk Choi , Jinsung Song & more

Trends in Biotechnology, vol. 42, no. 9, p. 1192-1203](https://wsai.iitm.ac.in/publications/driving-towards-digital-biomanufacturing/)

[2024

Modeling Microbial Communities: Perspective and Challenges

Lavanya Raajaraam , Karthik Raman

ACS Synthetic Biology, vol. 13, no. 8, p. 2260-2270](https://wsai.iitm.ac.in/publications/modeling-microbial-communities-perspective-and-challenges-20/)

[2024

Understanding the role of mobility in the recorded levels of violent crimes during COVID-19 pandemic: a case study of Tamil Nadu, India

Kandaswamy Paramasivan , Saish Jaiswal , Rahul Subburaj & more

Crime Science, vol. 13, no. 1](https://wsai.iitm.ac.in/publications/r-et-al-understanding-the-role-of-mobility-in-the-recorded-levels-of-violent-crimes-during-covid-19-pandemic-a-case-s-19/)

[2024

Design Principles for Perfect Adaptation in Biological Networks with Nonlinear Dynamics

Priyan Bhattacharya , Karthik Raman , Arun K. Tangirala

Bulletin of Mathematical Biology, vol. 86, no. 8](https://wsai.iitm.ac.in/publications/a-k-design-principles-for-perfect-adaptation-in-biological-networks-with-nonlinear-dynamics-15/)

[2024

SCI-VCF: A cross-platform application to summarise, compare and design interactive visualisations of the variant call format

Kamaraj V , Sinha H*

NAR Genomics and Bioinformatics](https://wsai.iitm.ac.in/publications/sci-vcf-a-cross-platform-application-to-summarise-compare-and-design-interactive-visualisations-of-the-variant-call-f-17/)

[2024

SCI-VCF: a cross-platform GUI solution to summarize, compare, inspect and visualize the variant call format

Venkatesh Kamaraj , Himanshu Sinha

NAR Genomics and Bioinformatics, vol. 6, no. 3](https://wsai.iitm.ac.in/publications/inspect-and-visualize-the-variant-call-format-16/)

[2024

Panera: An innovative framework for surmounting uncertainty in microbial community modeling using pan-genera metabolic models

Indumathi Palanikumar , Himanshu Sinha , Karthik Raman

iScience, vol. 27, no. 7, p. 110358](https://wsai.iitm.ac.in/publications/panera-an-innovative-framework-for-surmounting-uncertainty-in-microbial-community-modeling-using-pan-genera-metabolic-65/)

[2024

Economic Performance of Model Predictive Control at Back-off Operating Point

Nabil Magbool Jan , Sridharakumar Narasimhan

Journal of Process Control, vol. 139, p. 103231](https://wsai.iitm.ac.in/publications/economic-performance-of-model-predictive-control-at-back-off-operating-point-79/)

[2024

Distributed Physics-Informed machine learning strategies for two-phase flows

Gokul Radhakrishnan , Arvind Pattamatta , Balaji Srinivasan

International Journal of Multiphase Flow, vol. 177, p. 104861](https://wsai.iitm.ac.in/publications/distributed-physics-informed-machine-learning-strategies-for-two-phase-flows-14/)

[2024

A fast uncertainty quantification methodology and sampling technique for joint probability distribution of the Arrhenius rate expression: a case study applied to H 2 /CO kinetic mechanism

Krunal Panchal , Vaisakh Vasudevan , Sivaram Ambikasaran & more

Combustion Theory and Modelling, vol. 28, no. 4, p. 411-440](https://wsai.iitm.ac.in/publications/fast-uncertainty-quantification-methodology-and-sampling-technique/)

[2024

Development and external validation of Indian population-specific Garbhini-GA2 model for estimating gestational age in second and third trimesters

Veerendra P. Gadekar , Nikhita Damaraju , Ashley Xavier & more

The Lancet Regional Health - Southeast Asia, vol. 25, p. 100362](https://wsai.iitm.ac.in/publications/development-and-external-validation-of-indian-population/)

[2024

Alzheimer’s disease rewires gene coexpression networks coupling different brain regions

Sanga Mitra , Kailash BP , Srivatsan C R & more

npj Systems Biology and Applications, vol. 10, no. 1](https://wsai.iitm.ac.in/publications/alzheimers-disease-rewires-gene-coexpression/)

[2024

Deception in Reinforced Autonomous Agents: The Unconventional Rabbit Hat Trick in Legislation

Atharvan Dogra , Krishna Pillutla , Ameet Deshpande & more

ACL 2025](https://wsai.iitm.ac.in/publications/deception-in-reinforced-autonomous-agents/)

[2024

Designing function-specific minimal microbiomes from large microbial communities

Aswathy K. Raghu , Indumathi Palanikumar , Karthik Raman

npj Systems Biology and Applications, vol. 10, no. 1](https://wsai.iitm.ac.in/publications/designing-function-specific-minimal/)

[2024

Accelerated Sequence Design of Star Block Copolymers: An Unbiased Exploration Strategy via Fusion of Molecular Dynamics Simulations and Machine Learning

Jan-Michael Y. Carrillo , Vijith Parambil , Tarak K. Patra & more

The Journal of Physical Chemistry B, vol. 128, no. 17, p. 4220-4230](https://wsai.iitm.ac.in/publications/accelerated-sequence-design-of-star-block-copolymers/)

[2024

TOMBoost: a topic modeling based boosting approach for learning with class imbalance

Sudarsun Santhiappan , Jeshuren Chelladurai , Balaraman Ravindran

International Journal of Data Science and Analytics, vol. 17, no. 4, p. 389-409](https://wsai.iitm.ac.in/publications/tomboost-a-topic-modelling-based-boosting-approach-for-learning-with-class-imbalance/)

[2024

BugSigDB captures patterns of differential abundance across a broad range of host-associated microbial signatures

Ludwig Geistlinger , Chloe Mirzayi , Fatima Zohra & more

Nature Biotechnology, vol. 42, no. 5, p. 790-802](https://wsai.iitm.ac.in/publications/bugsigdb/)

[2024

BugSigDB captures patterns of differential abundance across a broad range of host-associated microbial signatures

Ludwig Geistlinger , Chloe Mirzayi , Fatima Zohra & more

Nature Biotechnology, vol. 42, no. 5, p. 790-802](https://wsai.iitm.ac.in/publications/bugsigdb-captures-patterns-of-differential-abundance/)

[2024

Novel spore-forming species exhibiting intrinsic resistance to third- and fourth-generation cephalosporins and description of Tigheibacillus jepli gen. nov., sp. nov

Georgios Miliotis , Pratyay Sengupta , Asif Hameed & more

mBio, vol. 15, no. 4](https://wsai.iitm.ac.in/publications/mar-13-e0018124-4/)

[2024

Novel spore-forming species exhibiting intrinsic resistance to third- and fourth-generation cephalosporins and description of Tigheibacillus jepli gen. nov., sp. nov

Georgios Miliotis , Pratyay Sengupta , Asif Hameed & more

mBio, vol. 15, no. 4](https://wsai.iitm.ac.in/publications/discovery-of-tigheibacillus-jepli/)

[2024

Active and Transfer Learning of High-Dimensional Neural Network Potentials for Transition Metals

Bilvin Varughese , Sukriti Manna , Troy D. Loeffler & more

ACS Applied Materials & Interfaces](https://wsai.iitm.ac.in/publications/active-and-transfer-learning-of-high-dimensional/)

[2024

Radiomics analysis for distinctive identification of COVID-19 pulmonary nodules from other benign and malignant counterparts

Minmini Selvam , Anupama Chandrasekharan , Abjasree Sadanandan & more

Scientific Reports, vol. 14, no. 1](https://wsai.iitm.ac.in/publications/radiomics-based-differentiation-of-covid-19/)

[2024

Physics informed contour selection for rapid image segmentation

Vikas Dwivedi , Balaji Srinivasan , Ganapathy Krishnamurthi

Scientific Reports, vol. 14, no. 1](https://wsai.iitm.ac.in/publications/physics-informed-contour-selection-for-rapid-image-segmentation/)

[2024

Genomic, functional, and metabolic enhancements in multidrug-resistant Enterobacter bugandensis facilitating its persistence and succession in the International Space Station

Pratyay Sengupta , Shobhan Karthick Muthamilselvi Sivabalan , Nitin Kumar Singh & more

Microbiome, vol. 12, no. 1](https://wsai.iitm.ac.in/publications/multidrug-resistant-enterobacter-bugandensis/)

[2024

HODLRdD: A new black-box fast algorithm for N-body problems in d-dimensions with guaranteed error bounds

Ritesh Khan , V.A. Kandappan , Sivaram Ambikasaran

Journal of Computational Physics, vol. 501, p. 112786](https://wsai.iitm.ac.in/publications/new-black-box-fast-algorithm-for-n-body-problems/)

[2024

InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain?

Yogesh Tripathi , Raghav Donakanti , Sahil Girhepuje & more

arXiv](https://wsai.iitm.ac.in/publications/insaaf/)

[2024

A probe-based demand responsive signal control for isolated intersections under mixed traffic conditions

Himabindu Maripini , Lelitha Vanajakshi , Bhargava Rama Chilukuri

Transportation Letters, vol. 16, no. 2, p. 117-130](https://wsai.iitm.ac.in/publications/probe-based-demand-responsive-signal-control-for-isolated-intersections-under-mixed-traffic-conditions/)

[2024

Hybrid self-supervised learning-based architecture for construction progress monitoring

Varun Kumar Reja , Shreya Goyal , Koshy Varghese & more

Automation in Construction, vol. 158, p. 105225](https://wsai.iitm.ac.in/publications/hybrid-self-supervised-learning-based/)

[2024

SpecGMM: Integrating Spectral analysis and Gaussian Mixture Models for taxonomic classification and identification of discriminative DNA regions

Saish Jaiswal , Hema A Murthy , Manikandan Narayanan

Bioinformatics Advances, vol. 4, no. 1](https://wsai.iitm.ac.in/publications/m-narayanan-23/)

[2024

Guiding Offline Reinforcement Learning Using a Safety Expert

Richa Verma , Durgesh Kalwar , Harshad Khadilkar & more

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), p. 82-90](https://wsai.iitm.ac.in/publications/guiding-offline-reinforcement/)

[2024

Cost-Sensitive Trees for Interpretable Reinforcement Learning

Siddharth Nishtala , Balaraman Ravindran

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), p. 91-99](https://wsai.iitm.ac.in/publications/cost-sensitive-trees-for-interpretable/)

[2024

A Learning Approach for Discovering Cost-Efficient Integrated Sourcing and Routing Strategies in E-Commerce

Omkar Shelke , Pranavi Pathakota , Anandsingh Chauhan & more

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), p. 430-438](https://wsai.iitm.ac.in/publications/learning-approach-for-discovering-cost-efficient-integrated-sourcing/)

[2024

Sensor Placement in Water Distribution Networks using Graph Neural Networks

Aaradhy Sirothia , Dr. Sridharakumar Narasimhan

IFAC-PapersOnLine, vol. 57, p. 268-273](https://wsai.iitm.ac.in/publications/sensor-placement-in-water-distribution-networks-using-graph-neural-networks-91/)

[2024

Semi-supervised machine learning approach for reaction stoichiometry and kinetic model identification using spectral data from flow reactors

Manokaran Veeramani , Sreeja Shanmuga Doss , Sridharakumar Narasimhan & more

Reaction Chemistry & Engineering, vol. 9, no. 2, p. 355-368](https://wsai.iitm.ac.in/publications/semi-supervised-machine-learning-approach-for-reaction-stoichiometry/)

[2024

Probabilistic Adaptive Slow Feature Analysis for State Estimation and Classification

M. K. Vishal Rishi , Arun K. Tangirala

IEEE Transactions on Instrumentation and Measurement, vol. 73, p. 1-15](https://wsai.iitm.ac.in/publications/probabilistic-adaptive-slow-feature-analysis-for-state-estimation-and-classification-59/)

[2024

Multi-Class Vehicle Segregation for Enhanced Safety and Efficiency of Mixed Traffic Networks

Aathira K. Das , Bhargava Rama Chilukuri

IEEE Access, vol. 12, p. 116368-116383](https://wsai.iitm.ac.in/publications/multi-class-vehicle-segregation-for-enhanced-safety-and-efficiency-of-mixed-traffic-networks-76/)

[2024

A Priori Parameter Identifiability of Enzymatic Reaction Networks

S. Ragini , Sridharakumar Narasimhan , Nirav Bhatt

IFAC-PapersOnLine, vol. 58, no. 17, p. 49-54](https://wsai.iitm.ac.in/publications/a-priori-parameter-identifiability-of-enzymatic-reaction-networks-92/)

[2024

A Framework to Characterise, Estimate, and Predict Vehicle Class-Agnostic Traffic States and Class-Wise Speeds for Mixed Traffic Conditions

Abirami Krishna Ashok , Bhargava Rama Chilukuri

IEEE Access, vol. 12, p. 106211-106235](https://wsai.iitm.ac.in/publications/a-framework-to-characterise-estimate-and-predict-vehicle-class-agnostic-traffic-states-and-class-wise-speeds-for-mixe-77/)

2023

[2023

A noise mitigation approach for improving position estimate in indoor vehicle navigation using inertial measurement unit

Vasumathi R , Subhadeep Kumar , Ramkrishna pasumarthy & more

Indian Control Conference (ICC) 2023](https://wsai.iitm.ac.in/publications/a-noise-mitigation-approach-for-improving-position/)

[2023

PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks

Saket Gurukar , Shaileshh Bojja Venkatakrishnan , Balaraman Ravindran & more

To be appearing in the proceedings of ASONAM 2023](https://wsai.iitm.ac.in/publications/policyclustergcn/)

[2023

Dynamical systems approaches to solving time-varying convex optimization problem with inequality constraints

Arun D. Mahindrakar , Rejitha , Umesh Vaidya

IEEE TAC](https://wsai.iitm.ac.in/publications/dynamical-systems-approaches-to-solvin-time-varying/)

[2023

PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation

Vikas Dwivedi , Balaji Srinivasan , Ganapathy Krishnamurthi](https://wsai.iitm.ac.in/publications/physics-informed-contour-selection-for-rapid-image/)

[2023

Linearly Constrained and Structured Reinforcement Learning Algorithm for Wireless Link Adaptation

Utsav Dey , Lakshmi Narasimhan Theagarajan , Arun Rajkumar

Workshop on Machine Learning for Wireless Communication, WiOpt 2023](https://wsai.iitm.ac.in/publications/linearly-constrained-and-structured-reinforcement-learning-algorithm/)

[2023

Distinguishing Feature Model for Learning From Pairwise Comparisons

Elisha Parhi , Arun Rajkumar

Workshop of Many Facets of Preference Based Learning, ICML 2023](https://wsai.iitm.ac.in/publications/distinguishing-feature-model-for-learning-from-pairwise-comparisons/)

[2023

Learning from Pairwise Comparisons Under Preference Reversals

Abdul Bakey Mir , Arun Rajkumar

Workshop of Many Facets of Preference Based Learning, ICML 2023](https://wsai.iitm.ac.in/publications/learning-from-pairwise-comparisons-under-preference-reversals/)

[2023

On the Interpretability of Attention Networks

Lakshmi Narayan Pandey , Rahul Vashisht , Harish G. Ramaswamy

Proceedings of The 14th Asian Conference on Machine Learning, PMLR](https://wsai.iitm.ac.in/publications/on-the-interpretability-of-attention-networks/)

[2023

MKT1 alleles regulate stress responses through posttranscriptional modulation of Puf3 targets in budding yeast

Koppisetty Viswa Chaithanya , Himanshu Sinha

Yeast, vol. 40, no. 12, p. 616-627](https://wsai.iitm.ac.in/publications/mkt1-alleles-regulate-stress-responses-through/)

[2023

Metagenome-based metabolic modelling predicts unique microbial interactions in deep-sea hydrothermal plume microbiomes

Dinesh Kumar Kuppa Baskaran , Shreyansh Umale , Zhichao Zhou & more

ISME Communications, vol. 3, no. 1](https://wsai.iitm.ac.in/publications/metagenome-based-metabolic-modelling-predicts-unique-microbial-interactions-in-deep-sea/)

[2023

Metagenome-based metabolic modelling predicts unique microbial interactions in deep-sea hydrothermal plume microbiomes

Dinesh Kumar Kuppa Baskaran , Shreyansh Umale , Zhichao Zhou & more

ISME Communications, vol. 3, no. 1](https://wsai.iitm.ac.in/publications/metagenome-based-metabolic-modelling-predicts-unique-microbial-interactions-in-d/)

[2023

Analysis of potential flow networks: Variations in transport time with discrete, continuous, and selfish operation

Varghese Kurian , Sridharakumar Narasimhan

Physica A: Statistical Mechanics and its Applications, vol. 632, p. 129303](https://wsai.iitm.ac.in/publications/analysis-of-potential-flow-networks/)

[2023

Phylogenomics, phenotypic, and functional traits of five novel (Earth-derived) bacterial species isolated from the International Space Station and their prevalence in metagenomes

Anna C. Simpson , Pratyay Sengupta , Flora Zhang & more

Scientific Reports, vol. 13, no. 1](https://wsai.iitm.ac.in/publications/phylogenomics-phenotypic-functional-traits-of-five-novel/)

[2023

Phylogenomics, phenotypic, and functional traits of five novel (Earth-derived) bacterial species isolated from the International Space Station and their prevalence in metagenomes

Anna C. Simpson , Pratyay Sengupta , Flora Zhang & more

Scientific Reports, vol. 13, no. 1](https://wsai.iitm.ac.in/publications/phylogenomics-phenotypic-and-functional-traits-of-five-novel-earth/)

[2023

Radiomics as a non-invasive adjunct to Chest CT in distinguishing benign and malignant lung nodules

Minmini Selvam , Anupama Chandrasekharan , Abjasree Sadanandan & more

Scientific Reports, vol. 13, no. 1](https://wsai.iitm.ac.in/publications/radiomics-as-a-non-invasive-adjunct-to-chest-ct/)

[2023

Equitable supply in intermittently operated rural water networks in emerging economies

Varghese Kurian , Prasanna Mohandoss , Srinesh Chandrakesa & more

Water Supply, vol. 23, no. 11, p. 4520-4538](https://wsai.iitm.ac.in/publications/equitable-supply-in-intermittently-operated-rural-water-networks/)

[2023

A reactive species reactions module for integration into genome-scale metabolic models for improved insights: Application to cancer

Subasree Sridhar , Prerna Bhalla , Justin Kullu & more

Metabolic Engineering, vol. 80, p. 78-93](https://wsai.iitm.ac.in/publications/a-reactive-species-reactions-module-for-integration/)

[2023

Panera: A novel framework for surmounting uncertainty in microbial community modelling using Pan-genera metabolic models

Indumathi Palanikumar , Himanshu Sinha , Karthik Raman

iScience](https://wsai.iitm.ac.in/publications/karthik-raman-panera-a-novel-framework-for-surmounting-uncertainty-in-microbial-community-modelling-using-pan-genera-18/)

[2023

On the Learning Dynamics of Attention Networks

Rahul Vashisht , Harish G. Ramaswamy

Frontiers in Artificial Intelligence and Applications](https://wsai.iitm.ac.in/publications/on-the-learning-dynamics-of-attention-networks/)

[2023

Role of genetic architecture in phenotypic plasticity

Purnima Kovuri , Anupama Yadav , Himanshu Sinha

Trends in Genetics, vol. 39, no. 9, p. 703-714](https://wsai.iitm.ac.in/publications/role-of-genetic-architecture-in-phenotypic-plasticity/)

[2023

On quantification and maximization of information transfer in network dynamical systems

Moirangthem Sailash Singh , Ramkrishna Pasumarthy , Umesh Vaidya & more

Scientific Reports](https://wsai.iitm.ac.in/publications/on-quantification-and-maximization-of-information-transfer-in-network-dynamical-systems/)

[2023

GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts

Returaj Burnwal , Anirban Santara , Nirav P.Bhatt & more

RSS 2023 Workshop](https://wsai.iitm.ac.in/publications/gan-mpc-training-model-predictive-controllers-with-parameterized/)

[2023

End-to-end Autonomous Driving in Heterogeneous Traffic Scenario Using Deep Reinforcement Learning

Soumyajit Chakraborty , Subhadeep Kumar , Nirav Bhatt & more

European Control Conference (ECC)](https://wsai.iitm.ac.in/publications/end-to-end-autonomous-driving-in-heterogeneous-traffic-scenario-using/)

[2023

Genome-scale metabolic model led engineering of Nothapodytes nimmoniana plant cells for high camptothecin production

Sarayu Murali , Maziya Ibrahim , Hemalatha Rajendran & more

Frontiers in Plant Science, vol. 14](https://wsai.iitm.ac.in/publications/genome-scale-metabolic-model-led-engineering-of-nothapodytes/)

[2023

RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains

Harsha Kokel , Sriraam Natarajan , Balaraman Ravindran & more

Neural Computing and Applications, vol. 35, no. 23, p. 16877-16892](https://wsai.iitm.ac.in/publications/reprel-unified-framework-for-integrating-relational-planning-and-reinforcement-learning-for-effective-abstraction/)

[2023

COWAVE: A labelled COVID-19 wave dataset for building predictive models

Melpakkam Pradeep , Karthik Raman

PLOS ONE, vol. 18, no. 7, p. e0284076](https://wsai.iitm.ac.in/publications/cowave/)

[2023

COWAVE: A labelled COVID-19 wave dataset for building predictive models

Melpakkam Pradeep , Karthik Raman

PLOS ONE, vol. 18, no. 7, p. e0284076](https://wsai.iitm.ac.in/publications/cowave-a-labelled-covid-19-wave-dataset/)

[2023

Hypergraph partitioning using tensor eigenvalue decomposition

Deepak Maurya , Balaraman Ravindran

PLOS ONE, vol. 18, no. 7, p. e0288457](https://wsai.iitm.ac.in/publications/hypergraph-partitioning-using-tensor-eigenvalue-decomposition/)

[2023

Big Data for a Small World: A Review on Databases and Resources for Studying Microbiomes

Pratyay Sengupta , Shobhan Karthick Muthamilselvi Sivabalan , Amrita Mahesh & more

Journal of the Indian Institute of Science, vol. 103, no. 3, p. 891-907](https://wsai.iitm.ac.in/publications/big-data/)

[2023

Big Data for a Small World: A Review on Databases and Resources for Studying Microbiomes

Pratyay Sengupta , Shobhan Karthick Muthamilselvi Sivabalan , Amrita Mahesh & more

Journal of the Indian Institute of Science, vol. 103, no. 3, p. 891-907](https://wsai.iitm.ac.in/publications/big-data-for-a-small-world-a-review-on-databases-and-resources-for-studying-microbiomes/)

[2023

A deep network-based model of hippocampal memory functions under normal and Alzheimer’s disease conditions

Tamizharasan Kanagamani , V. Srinivasa Chakravarthy , Balaraman Ravindran & more

Frontiers in Neural Circuits, vol. 17](https://wsai.iitm.ac.in/publications/a-deep-network-based-model-of-hippocampal-memory-functions-under-normal/)

[2023

Systemic Literature Review - Unpacking values. How values change over time and link with personality traits and behaviours

Sameer Mehta , Rahul Marathe , Balaraman Ravindran & more

Journal of Beliefs & Values](https://wsai.iitm.ac.in/publications/unpacking-values-how-values-change-over-time-and-link-with-personality-traits-behaviours/)

[2023

Data-Driven Feedback Linearization of Nonlinear Systems with Periodic Orbits in the Zero-Dynamics

Karthik Shenoy , Akshit Saradagi , Ramkrishna Pasumarthy & more

2023 American Control Conference (ACC), p. 2818-2823](https://wsai.iitm.ac.in/publications/data-driven-feedback-linearization-of-nonlinear-systems-with-periodic/)

[2023

Carriageway Edge Detection for Unmarked Urban Roads using Deep Learning Techniques

Vasudha E , Bhargava Rama Chilukuri

2023 Smart City Symposium Prague (SCSP), p. 1-6](https://wsai.iitm.ac.in/publications/carriageway-edge-detection-for-unmarked-urban-roads-using-deep-learning-techniques/)

[2023

Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference

Mayuresh Kunir , Sanjay Chawla , Siddarth Chandrasekar & more

To appear in the Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)](https://wsai.iitm.ac.in/publications/optimizing-traffic-control-with-model-based-learning/)

[2023

MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication

Tarun Kumar , Ramanathan Sethuraman , Sanga Mitra & more

PLOS Computational Biology, vol. 19, no. 4, p. e1011022](https://wsai.iitm.ac.in/publications/multicens-multilayer-network-centrality-measures-to-uncover-molecular-mediators-of-tissue-tissue-communication/)

[2023

Parse Challenge 2022: Pulmonary Arteries Segmentation Using Swin U-net Transformer(Swin UNETR) and U-net

Rohan Padhy , Akansh Maurya , Kunal Dasharath Patil & more

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), p. 1-4](https://wsai.iitm.ac.in/publications/parse-challenge-2022-pulmonary-arteries-segmentation/)

[2023

Financial exclusion of internal migrant workers of India during COVID-19: can digital financial inclusion be facilitated by AI?

Pavan Ravishankar , Sudarsan Padmanabhan , Balaraman Ravindran

Journal of Information Technology Case and Application Research, vol. 25, no. 2, p. 129-158](https://wsai.iitm.ac.in/publications/financial-exclusion-of-internal-migrant-workers-during-covid/)

[2023

A Survey of Adversarial Defences and Robustness in NLP

Shreya Goyal , Sumanth Doddapaneni , Mitesh M. Khapra & more

ACM Computing Surveys](https://wsai.iitm.ac.in/publications/a-survey-of-adversarial-defences-and-robustness-in-nlp/)

[2023

On biological networks capable of robust adaptation in the presence of uncertainties: A linear systems-theoretic approach

Priyan Bhattacharya , Karthik Raman , Arun K. Tangirala

Mathematical Biosciences, vol. 358, p. 108984](https://wsai.iitm.ac.in/publications/on-biological-networks-capable-of-robust-adaptation/)

[2023

On biological networks capable of robust adaptation in the presence of uncertainties: A linear systems-theoretic approach

Priyan Bhattacharya , Karthik Raman , Arun K. Tangirala

Mathematical Biosciences, vol. 358, p. 108984](https://wsai.iitm.ac.in/publications/on-biological-networks-capable-of-robust-adaptation-in-the-presence-of-uncertain/)

[2023

Physics-Informed Model-Based Reinforcement Learning

Adithya Ramesh , Balaraman Ravindran

To appear in Learning for Dynamics & Control Conference (L4DC) 2023](https://wsai.iitm.ac.in/publications/physics-informed-model-based-reinforcement-learning/)

[2023

Sloppiness: Fundamental study, new formalism and its application in model assessment

Prem Jagadeesan , Karthik Raman , Arun K. Tangirala

PLOS ONE, vol. 18, no. 3, p. e0282609](https://wsai.iitm.ac.in/publications/sloppiness-fundamental/)

[2023

Sloppiness: Fundamental study, new formalism and its application in model assessment

Prem Jagadeesan , Karthik Raman , Arun K. Tangirala

PLOS ONE, vol. 18, no. 3, p. e0282609](https://wsai.iitm.ac.in/publications/sloppiness-fundamental-study-new-formalism/)

[2023

Effects of Data Characteristics on Bus Travel Time Prediction: A Systematic Study

Hima Shaji , Lelitha Vanajakshi , Arun Tangirala

Sustainability, vol. 15, no. 6, p. 4731](https://wsai.iitm.ac.in/publications/effects-of-data-characteristics/)

[2023

Matching Options to Tasks using Option-Indexed Hierarchical Reinforcement Learning

Chauhan, K , Chatterjee, S , Reddy, A & more

To appear in the proceedings of the Twenty-Second International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2023).](https://wsai.iitm.ac.in/publications/matching-options-to-tasks-using-option-indexed-hierarchical-reinforcement-learning/)

[2023

Robust Analysis of Almost Sure Convergence of Zeroth-Order Mirror Descent Algorithm

Anik Kumar Paul , Arun D. Mahindrakar , Rachel K. Kalaimani

IEEE Control Systems Letters, vol. 7, p. 1933-1938](https://wsai.iitm.ac.in/publications/robust-analysis-of-almost-sure-convergence/)

[2023

Robust Analysis of Almost Sure Convergence of Zeroth-Order Mirror Descent Algorithm

Anik Kumar Paul , Arun D. Mahindrakar , Rachel K. Kalaimani

IEEE Control Systems Letters, vol. 7, p. 1933-1938](https://wsai.iitm.ac.in/publications/robust-analysis-of-almost-sure-convergence-of-zeroth-order-mirror-descent-algorithm/)

[2023

IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages

Ananya Sai B , Tanay Dixit , Vignesh Nagarajan & more

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)](https://wsai.iitm.ac.in/publications/indicmt-eval-a-dataset-to-meta-evaluate-machine/)

[2023

Data Imputation for Traffic State Estimation and Pre-diction Using Wi-Fi Sensors

Sarthak Chaturvedi , S. Deepak , Dhivya Bharathi & more

Lecture Notes in Civil Engineering, p. 385-395](https://wsai.iitm.ac.in/publications/data-imputation-for-traffic-state-estimation-and-pre-diction-using-wi-fi-sensors/)

[2023

Comparison of Delay Estimation Techniques for Advanced Traffic Management

P. B. Renju , Nitin Navali , Lelitha Vanajakshi

Lecture Notes in Civil Engineering, p. 349-365](https://wsai.iitm.ac.in/publications/comparison-of-delay-estimation-techniques-for-advanced-traffic-management/)

[2023

A Strategic Research Framework for Defeating Diabetes in India: A 21st-Century Agenda

K. M. Venkat Narayan , Jithin Sam Varghese , Yara S. Beyh & more

Journal of the Indian Institute of Science, vol. 103, no. 1, p. 33-54](https://wsai.iitm.ac.in/publications/a-strategic-research-framework-for-defeating-diabetes-in-india/)

2022

[2022

Profitable market mechanism for platform-based aggregator taxi services

Swaminathan Rammohan , Rahul R. Marathe , Nandan Sudarsanam

Transportation Research Interdisciplinary Perspectives, vol. 16, p. 100687](https://wsai.iitm.ac.in/publications/profitable-market-mechanism-for-platform-based-aggregator-taxi-services/)

[2022

Counterfactual analysis of the impact of the first two waves of the COVID-19 pandemic on the reporting and registration of missing people in India

Kandaswamy Paramasivan , Brinda Subramani , Nandan Sudarsanam

Humanities and Social Sciences Communications, vol. 9, no. 1](https://wsai.iitm.ac.in/publications/counterfactual-analysis-of-the-impact-of-the-first-two-waves-of-the-covid-19-pandemic-on-the-reporting-and-registration-of-missing-people-in-india/)

[2022

AI and data science centers in top Indian academic institutions

B. Ravindran , Sunita Sarawagi , Aditi Jain

Communications of the ACM, vol. 65, no. 11, p. 94-97](https://wsai.iitm.ac.in/publications/ai-and-data-science-centers-in-top-indian-academic-institutions/)

[2022

Crime registration and distress calls during COVID-19: two sides of the coin

Kandaswamy Paramasivan , Nandan Sudarsanam , Sivapriya Vellaichamy & more

Policing and Society, vol. 32, no. 9, p. 1124-1145](https://wsai.iitm.ac.in/publications/crime-registration-and-distress-calls-during-covid-19-two-sides-of-the-coin/)

[2022

Developmental maturation of causal signaling hubs in voluntary control of saccades and their functional controllability

Yuan Zhang , Srikanth Ryali , Weidong Cai & more

Cerebral Cortex, vol. 32, no. 21, p. 4746-4762](https://wsai.iitm.ac.in/publications/developmental-maturation-of-causal-signaling-hubs-in-voluntary-control-of-saccades-and-their-functional-controllability/)

[2022

Predicting cross-tissue hormone–gene relations using balanced word embeddings

Aditya Jadhav , Tarun Kumar , Mohit Raghavendra & more

Bioinformatics, vol. 38, no. 20, p. 4771-4781](https://wsai.iitm.ac.in/publications/predicting-cross-tissue-hormone-gene-relations-using-balanced-word-embeddings/)

[2022

Empirical evidence of the impact of mobility on property crimes during the first two waves of the COVID-19 pandemic

Kandaswamy Paramasivan , Rahul Subburaj , Saish Jaiswal & more

Humanities and Social Sciences Communications, vol. 9, no. 1](https://wsai.iitm.ac.in/publications/empirical-evidence-of-the-impact-of-mobility-on-property-crimes-during-the-first-two-waves-of-the-covid-19-pandemic/)

[2022

Probing patterning in microbial consortia with a cellular automaton for spatial organisation

Sankalpa Venkatraghavan , Sathvik Anantakrishnan , Karthik Raman

Scientific Reports, vol. 12, no. 1](https://wsai.iitm.ac.in/publications/probing-patterning-in-microbial-consortia-with-a-cellular-automaton-for-spatial-organisation/)

[2022

Probing patterning in microbial consortia with a cellular automaton for spatial organisation

Sankalpa Venkatraghavan , Sathvik Anantakrishnan , Karthik Raman

Scientific Reports, vol. 12, no. 1](https://wsai.iitm.ac.in/publications/probing-patterning-in-microbial-consortia-with-a-cellular-automaton-for-spatial-/)

[2022

Quantifying the maximum possible improvement in $2^{k}$ experiments

Nandan Sudarsanam , Anusha Kumar , Daniel D. Frey

Research in Engineering Design, vol. 33, no. 4, p. 367-384](https://wsai.iitm.ac.in/publications/quantifying-the-maximum-possible-improvement-in-2k-experiments/)

[2022

Joint clustering and prediction approach for travel time prediction

Hima Elsa Shaji , Arun K. Tangirala , Lelitha Vanajakshi

PLOS ONE, vol. 17, no. 9, p. e0275030](https://wsai.iitm.ac.in/publications/joint-clustering-and-prediction-approach-for-travel-time-prediction/)

[2022

Byzantine Spectral Ranking

Arnhav Datar , Arun Rajkumar , John Augustine

Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022)](https://wsai.iitm.ac.in/publications/byzantine-spectral-ranking/)

[2022

Discovering design principles for biological functionalities: Perspectives from systems biology

Priyan Bhattacharya , Karthik Raman , Arun K Tangirala

Journal of Biosciences, vol. 47, no. 4](https://wsai.iitm.ac.in/publications/discovering-design-principles-for-biological-functionalities-perspectives/)

[2022

Discovering design principles for biological functionalities: Perspectives from systems biology

Priyan Bhattacharya , Karthik Raman , Arun K Tangirala

Journal of Biosciences, vol. 47, no. 4](https://wsai.iitm.ac.in/publications/discovering-design-principles-for-biological-functionalities-perspectives-from-systems-biology/)

[2022

Structurally-constrained optical-flow-guided adversarial generation of synthetic CT for MR-only radiotherapy treatment planning

Rajat Vajpayee , Vismay Agrawal , Ganapathy Krishnamurthi

Scientific Reports, vol. 12, no. 1](https://wsai.iitm.ac.in/publications/structurally-constrained-optical-flow-guided-adversarial-generation-of-synthetic-ct-for-mr-only-radiotherapy-treatment-planning/)

[2022

Multi-Variate Time Series Forecasting on Variable Subsets

Jatin Chauhan , Aravindan Raghuveer Jay , Nandy Rishi Saket & more

ACM SIGKDD 2022](https://wsai.iitm.ac.in/publications/multi-variate-time-series-forecasting-on-variable-subsets/)

[2022

Ab-CoV: a curated database for binding affinity and neutralization profiles of coronavirus-related antibodies

Puneet Rawat , Divya Sharma , R Prabakaran & more

Bioinformatics, vol. 38, no. 16, p. 4051-4052](https://wsai.iitm.ac.in/publications/ab-cov-a-curated-database-for-binding-affinity-and-neutralization-profiles-of-coronavirus-related-antibodies/)

[2022

Domain-Agnostic Constrastive Representations for Learning from Label Proportions

Nandy J , Saket R , Jain P & more

31st ACM International Conference on Information and Knowledge Management (CIKM 2022).](https://wsai.iitm.ac.in/publications/domain-agnostic-constrastive-representations-for-learning-from-label-proportions/)

[2022

Understanding the mutational frequency in SARS-CoV-2 proteome using structural features

Puneet Rawat , Divya Sharma , Medha Pandey & more

Computers in Biology and Medicine, vol. 147, p. 105708](https://wsai.iitm.ac.in/publications/understanding-the-mutational-frequency-in-sars-cov-2-proteome-using-structural-features/)

[2022

Event-Triggered Control Design for Systems With Exogenous Inputs: Application for Auto-Scaling of Cloud-Hosted Web Servers

Durgesh Singh , Kshama Dwarakanath , Ramkrishna Pasumarthy

IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 8, p. 5201-5211](https://wsai.iitm.ac.in/publications/event-triggered-control-design-for-systems-with-exogenous-inputs-application-for-auto-scaling-of-cloud-hosted-web-servers/)

[2022

Evolutionary Approach to Security Games with Signaling

Adam Zychowski , Jacek Mandziuk , Elizabeth Bondi & more

2022 International Joint Conference on Artificial Intelligence](https://wsai.iitm.ac.in/publications/evolutionary-approach-to-security-games-with-signaling/)

[2022

Data-driven Event-triggered Control for Discrete-time LTI Systems

Vijayanand Digge , Ramkrishna Pasumarthy

2022 European Control Conference (ECC), p. 1355-1360](https://wsai.iitm.ac.in/publications/data-driven-event-triggered-control-for-discrete-time-lti-systems/)

[2022

iCOMIC: a graphical interface-driven bioinformatics pipeline for analyzing cancer omics data

Anjana Anilkumar Sithara , Devi Priyanka Maripuri , Keerthika Moorthy & more

NAR Genomics and Bioinformatics, vol. 4, no. 3](https://wsai.iitm.ac.in/publications/icomic/)

[2022

iCOMIC: a graphical interface-driven bioinformatics pipeline for analyzing cancer omics data

Anjana Anilkumar Sithara , Devi Priyanka Maripuri , Keerthika Moorthy & more

NAR Genomics and Bioinformatics, vol. 4, no. 3](https://wsai.iitm.ac.in/publications/icomic-a-graphical-interface-driven-bioinformatics-pipeline-for-analyzing-cancer-omics-data/)

[2022

Metabolic modeling of the International Space Station microbiome reveals key microbial interactions

Rachita K. Kumar , Nitin Kumar Singh , Sanjaay Balakrishnan & more

Microbiome, vol. 10, no. 1](https://wsai.iitm.ac.in/publications/metabolic-modeling-of-the-international-space-station/)

[2022

Metabolic modeling of the International Space Station microbiome reveals key microbial interactions

Rachita K. Kumar , Nitin Kumar Singh , Sanjaay Balakrishnan & more

Microbiome, vol. 10, no. 1](https://wsai.iitm.ac.in/publications/metabolic-modeling-of-the-international-space-station-microbiome-reveals-key-microbial-interactions/)

[2022

Effect of dormant spare capacity on the attack tolerance of complex networks

Sai Saranga Das , Karthik Raman

Physica A: Statistical Mechanics and its Applications, vol. 598, p. 127419](https://wsai.iitm.ac.in/publications/effect-of-dormant-spare-capacity-on-the-attack-tolerance-of-complex-networks/)

[2022

CDiNN – Convex difference neural networks

Parameswaran Sankaranarayanan , Raghunathan Rengaswamy

Neurocomputing, vol. 495, p. 153-168](https://wsai.iitm.ac.in/publications/cdinn-convex-difference-neural-networks/)

[2022

Data-Driven LQR Design for LTI systems with Exogenous Inputs

Vijayanand Digge , Ramkrishna Pasumarthy

2022 30th Mediterranean Conference on Control and Automation (MED), p. 239-244](https://wsai.iitm.ac.in/publications/data-driven-lqr-design-for-lti-systems-with-exogenous-inputs/)

[2022

Benchmarking and Analysing Unsupervised Network Representation Learning and the Illusion of Progress

Saket Gurukar , Priyesh Vijayan , srinivasan parthasarathy & more

Transactions on Machine Learning Research.](https://wsai.iitm.ac.in/publications/benchmarking-and-analysing-unsupervised-network-representation-learning-and-the-illusion-of-progress/)

[2022

Fixed-Time Dynamical System Approach for Solving Time-Varying Convex Optimization Problems

Rejitha Raveendran , Arun D. Mahindrakar , Umesh Vaidya

The 2022 American Control Conference (ACC)](https://wsai.iitm.ac.in/publications/fixed-time-dynamical-system-approach-for-solving-time-varying-convex-optimization-problems/)

[2022

Integration of machine learning and first principles models

Lokesh Rajulapati , Sivadurgaprasad Chinta , Bala Shyamala & more

AIChE Journal, vol. 68, no. 6](https://wsai.iitm.ac.in/publications/integration-of-machine-learning-and-first-principles-models/)

[2022

Detecting Vehicles on the Edge: Knowledge Distillation to Improve Performance in Heterogeneous Road Traffic

Manoj Bharadhwaj , Gitakrishnan Ramadurai , Balaraman Ravindran

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), p. 3191-3197](https://wsai.iitm.ac.in/publications/detecting-vehicles-on-the-edge-knowledge-distillation-to-improve-performance-in-heterogenous-road-traffic/)

[2022

Relationship between mobility and road traffic injuries during COVID-19 pandemic—The role of attendant factors

Kandaswamy Paramasivan , Rahul Subburaj , Venkatesh Mohan Sharma & more

PLOS ONE, vol. 17, no. 5, p. e0268190](https://wsai.iitm.ac.in/publications/relationship-between-mobility-and-road-traffic-injuries-during-covid-19-pandemic-the-role-of-attendant-factors/)

[2022

Multi-Omic Data Improve Prediction of Personalized Tumor Suppressors and Oncogenes

Malvika Sudhakar , Raghunathan Rengaswamy , Karthik Raman

Frontiers in Genetics, vol. 13](https://wsai.iitm.ac.in/publications/multi-omic-data-helps-improve-prediction-of-personalised-tumor-suppressors-and-oncogenes/)

[2022

Multi-Omic Data Improve Prediction of Personalized Tumor Suppressors and Oncogenes

Malvika Sudhakar , Raghunathan Rengaswamy , Karthik Raman

Frontiers in Genetics, vol. 13](https://wsai.iitm.ac.in/publications/multi-omic-data-helps-improve-prediction-of-personalised-tumor-suppressors-and-o/)

[2022

Causal Contextual Bandits with Targeted Interventions

Chandrasekar Subramanian , Balaraman Ravindran

The Tenth International Conference on Learning Representations - ICLR 2022](https://wsai.iitm.ac.in/publications/causal-contextual-bandits-with-targeted-interventions/)

[2022

A Theory of Tournament Representations

Arun Rajkumar , Vishnu Veerathu , Abdul Bakey Mir

International Conference on Learning Representations (ICLR) 2022](https://wsai.iitm.ac.in/publications/a-theory-of-tournament-representations/)

[2022

Designing Biological Circuits: From Principles to Applications

Debomita Chakraborty , Raghunathan Rengaswamy , Karthik Raman

ACS Synthetic Biology, vol. 11, no. 4, p. 1377-1388](https://wsai.iitm.ac.in/publications/designing-biological-circuits/)

[2022

Designing Biological Circuits: From Principles to Applications

Debomita Chakraborty , Raghunathan Rengaswamy , Karthik Raman

ACS Synthetic Biology, vol. 11, no. 4, p. 1377-1388](https://wsai.iitm.ac.in/publications/designing-biological-circuits-from-principles-to-applications/)

[2022

Scaling Graph Propagation Kernels for Predictive Learning

Priyesh Vijayan , Yash Chandak , Mitesh M. Khapra & more

Frontiers in Big Data, vol. 5](https://wsai.iitm.ac.in/publications/scaling-graph-propagation-kernels-for-predictive-learning/)

[2022

Impact of COVID-19 pandemic on road safety in Tamil Nadu, India

Kandaswamy Paramasivan , Nandan Sudarsanam

International Journal of Injury Control and Safety Promotion, vol. 29, no. 2, p. 265-277](https://wsai.iitm.ac.in/publications/impact-of-covid19-pandemic-on-road-safety-in-tamil-nadu-india/)

[2022

On Combining Bags to Better Learn from Label Proportions

Rishi Saket , Aravindan Raghuveer , Balaraman Ravindran

The 25th International Conference on Artificial Intelligence and Statistics - AISTATS 2022](https://wsai.iitm.ac.in/publications/on-combining-bags-to-better-learn-from-label-proportions/)

[2022

Inductive Bias of Gradient Descent for Weight Normalized Smooth Homogeneous Neural Nets

Depen Morwani , Harish G.Ramaswamy

33rd International Conference on Algorithmic Learning Theory (ALT) -2022](https://wsai.iitm.ac.in/publications/inductive-bias-of-gradient-descent-for-weight-normalized-smooth-homogeneous-neural-nets/)

[2022

Injury severity prediction model for two-wheeler crashes at mid-block road sections

Anju K. Panicker , Gitakrishnan Ramadurai

International Journal of Crashworthiness, vol. 27, no. 2, p. 328-336](https://wsai.iitm.ac.in/publications/injury-severity-prediction-model-for-two-wheeler-crashes-at-mid-block-road-sections/)

[2022

Optimizing Driver Nodes for Structural Controllability of Temporal Networks

Manikya Valli Srighakollapu , Rachel Kalpana Kalaimani , Ramkrishna Pasumarthy

IEEE Transactions on Control of Network Systems, vol. 9, no. 1, p. 380-389](https://wsai.iitm.ac.in/publications/optimizing-driver-nodes-for-structural-controllability-of-temporal-networks/)

[2022

Elucidating important structural features for the binding affinity of spike ‐ SARS‐CoV‐2 neutralizing antibody complexes

Divya Sharma , Puneet Rawat , Vani Janakiraman & more

Proteins: Structure, Function, and Bioinformatics, vol. 90, no. 3, p. 824-834](https://wsai.iitm.ac.in/publications/elucidating-important-structural-features-for-the-binding-affinity-of-spike-sars-cov-2-neutralizing-antibody-complexes/)

[2022

Towards Building ASR Systems for the Next Billion Users

Tahir Javed , Sumanth Doddapaneni , Abhigyan Raman & more

To appear in the Proceedings of the Thirty-Sixth Annual Conference of the Association for Advancement of Artificial Intelligence (AAAI 2022)](https://wsai.iitm.ac.in/publications/towards-building-asr-systems-for-the-next-billion-users/)

[2022

Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages

Gowtham Ramesh , Sumanth Doddapaneni , Aravinth Bheemaraj & more

Transactions of the Association for Computational Linguistics, vol. 10, p. 145-162](https://wsai.iitm.ac.in/publications/samanantar-the-largest-publicly-available-parallel-corpora-collection-for-11-indic-languages/)

[2022

Scalable multi-product inventory control with lead time constraints using reinforcement learning

Hardik Meisheri , Nazneen N. Sultana , Mayank Baranwal & more

Neural Computing and Applications, vol. 34, no. 3, p. 1735-1757](https://wsai.iitm.ac.in/publications/scalable-multi-product-inventory-control-with-lead-time-constraints-usingreinforcement-learning/)

[2022

Scalable multi-product inventory control with lead time constraints using reinforcement learning

Hardik Meisheri , Nazneen N. Sultana , Mayank Baranwal & more

Neural Computing and Applications, vol. 34, no. 3, p. 1735-1757](https://wsai.iitm.ac.in/publications/scalable-multi-product-inventory-control-with-lead-time-constraints-using-reinforcement-learning-2/)

[2022

Discovering adaptation-capable biological network structures using control-theoretic approaches

Priyan Bhattacharya , Karthik Raman , Arun K. Tangirala

PLOS Computational Biology, vol. 18, no. 1, p. e1009769](https://wsai.iitm.ac.in/publications/discovering-adaptation-capable-biological-network-structures-using-control-theoretic-approaches/)

[2022

Discovering adaptation-capable biological network structures using control-theoretic approaches

Priyan Bhattacharya , Karthik Raman , Arun K. Tangirala

PLOS Computational Biology, vol. 18, no. 1, p. e1009769](https://wsai.iitm.ac.in/publications/discovering-adaptation-capable-biological-network-structures-using-control-theor/)

[2022

Smooth Imitation Learning via Smooth Costs and Smooth Policies

Sapana Chaudhary , Balaraman Ravindran

Proceedings of the 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), p. 63-71](https://wsai.iitm.ac.in/publications/smooth-imitation-learning-via-smooth-costs-and-smooth-policies/)

[2022

Automated Incident Location Identification for EMS from Ambulance Geospatial Data

Sruthikeerthi Nandita , Goutham Zampani , Gokul S Krishnan & more

Proceedings of the 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), p. 162-168](https://wsai.iitm.ac.in/publications/automated-incident-location-identification-for-ems-from-ambulance-geospatial-data/)

[2022

An Active Learning Framework for Efficient Robust Policy Search

Sai Kiran Narayanaswami , Nandan Sudarsanam , Balaraman Ravindran

Proceedings of the 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), p. 1-9](https://wsai.iitm.ac.in/publications/an-active-learning-framework-for-efficient-robust-policy-search/)

[2022

Novel ratio-metric features enable the identification of new driver genes across cancer types

Malvika Sudhakar , Raghunathan Rengaswamy , Karthik Raman

Scientific Reports, vol. 12, no. 1](https://wsai.iitm.ac.in/publications/novel-ratio-metric-features-enable-the-identification-of-new-driver-genes-across/)

[2022

Novel ratio-metric features enable the identification of new driver genes across cancer types

Malvika Sudhakar , Raghunathan Rengaswamy , Karthik Raman

Scientific Reports, vol. 12, no. 1](https://wsai.iitm.ac.in/publications/novel-ratio-metric-features-enable-the-identification-of-new-driver-genes-across-cancer-types/)

[2022

A Computational Framework to Identify Metabolic Engineering Strategies for the Co-Production of Metabolites

Lavanya Raajaraam , Karthik Raman

Frontiers in Bioengineering and Biotechnology, vol. 9](https://wsai.iitm.ac.in/publications/a-computational-framework/)

[2022

A Computational Framework to Identify Metabolic Engineering Strategies for the Co-Production of Metabolites

Lavanya Raajaraam , Karthik Raman

Frontiers in Bioengineering and Biotechnology, vol. 9](https://wsai.iitm.ac.in/publications/a-computational-framework-to-identify-metabolic-engineering-strategies-for-the-co-production-of-metabolites/)

[2022

Verification and Rectification of Error in Topology of Conserved Networks

Satya Jayadev P , Arsh Bawa , Nirav Bhatt

IFAC-PapersOnLine, vol. 55, no. 30, p. 43-48](https://wsai.iitm.ac.in/publications/verification-and-rectification-of-error-in-topology-of-conserved-networks/)

[2022

On Strong Structural Controllability of Temporal Networks

Manikya Valli Srighakollapu , Rachel Kalpana Kalaimani , Ramkrishna Pasumarthy

IEEE Control Systems Letters, vol. 6, p. 1861-1866](https://wsai.iitm.ac.in/publications/on-strong-structural-controllability-of-temporal-networks/)

[2022

Bayesian Optimal Experiment Design for Sloppy Systems

Prem Jagadeesan , Karthik Raman , Arun K. Tangirala

IFAC-PapersOnLine, vol. 55, no. 23, p. 121-126](https://wsai.iitm.ac.in/publications/bayesian-optimal/)

[2022

Bayesian Optimal Experiment Design for Sloppy Systems

Prem Jagadeesan , Karthik Raman , Arun K. Tangirala

IFAC-PapersOnLine, vol. 55, no. 23, p. 121-126](https://wsai.iitm.ac.in/publications/bayesian-optimal-experiment-design-for-sloppy-systems/)

[2022

An Aggregated Dynamic Model of an Electronically Actuated ICE Powertrain

Subhadeep Kumar , Ramkrishna Pasumarthy , Nirav P. Bhatt

IEEE Access, vol. 10, p. 60306-60329](https://wsai.iitm.ac.in/publications/an-aggregated-dynamic-model-of-an-electronically-actuated-ice-powertrain/)

2021

[2021

PARWiS: Winner determination from Active Pairwise Comparisons under a Shoestring Budget

Dev Yashpal Sheth , Arun Rajkumar

To appear in the proceddings of the 21st IEEE International Conference on Data Mining (ICDM 2021)](https://wsai.iitm.ac.in/publications/parwis-winner-determination-from-active-pairwise-comparisons/)

[2021

On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons

Vishnu Veerathu , Arun Rajkumar

To appear in Thirty-fifth Annual Conference on Neural Information Processing Systems (NeurIPS 2021)](https://wsai.iitm.ac.in/publications/on-the-structure-of-parametric-tournaments-with-application-to-ranking-from-pairwise-comparisons/)

[2021

Comparison of first trimester dating methods for gestational age estimation and their implication on preterm birth classification in a North Indian cohort

Ramya Vijayram , Nikhita Damaraju , Ashley Xavier & more

BMC Pregnancy and Childbirth, vol. 21, no. 1](https://wsai.iitm.ac.in/publications/comparison-of-first-trimester-dating-methods-for-gestational-age-estimation/)

[2021

Metric Learning for comparison of HMMs using Graph Neural Networks

Rajan Kumar Soni , K Seshadri , B Ravindran

To appear in the Proceedings of the Thirteenth Asian Conference on Machine Learning (ACML 2021)](https://wsai.iitm.ac.in/publications/metric-learning-for-comparison-of-hmms-using-graph-neural-networks/)

[2021

A Causal Approach for Unfair Edge Prioritization and Discrimination Removal

Pavan Ravishankar , Pranshu Malviya , Balaraman Ravindran

To appear in the Proceedings of the Thirteenth Asian Conference on Machine Learning (ACML 2021)](https://wsai.iitm.ac.in/publications/a-causal-approach-for-unfair-edge-prioritization-and-discrimination-removal/)

[2021

Perturbation CheckLists for Evaluating NLG Evaluation Metrics

Ananya B. Sai , Tanay Dixit , Dev Yashpal Sheth & more

In Proceedings of Empirical Methods in Natural Language Processing (EMNLP 2021)](https://wsai.iitm.ac.in/publications/perturbation-checklists-for-evaluating-nlg-evaluation-metrics/)

[2021

Predicting unknown directed links of conserved networks from flow data

Satya Jayadev Pappu , Ramkrishna Pasumarthy , Nirav Bhatt

Journal of Complex Networks, vol. 9, no. 6](https://wsai.iitm.ac.in/publications/predicting-unknown-directed-links-of-conserved-networks-from-flow-data/)

[2021

Unsupervised Deep Video Denoising

Dev Yashpal Sheth , Sreyas Mohan , Joshua Vincent & more

International Conference on Computer Vision (ICCV 2021)](https://wsai.iitm.ac.in/publications/unsupervised-deep-video-denoising/)

[2021

SeLFVi: Self-Supervised Light-Field Video Reconstruction From Stereo Video

Prasan Shedligeri , Florian Schiffers , Sushobhan Ghosh & more

International Conference on Computer Vision (ICCV 2021 )](https://wsai.iitm.ac.in/publications/selfvi-self-supervised-light-field-video-reconstruction-from-stereo-video/)

[2021

A Joint Training Framework for Open-World Knowledge Graph Embeddings

Karthik Venkat Ramanan , Beethika Tripathi , Mitesh M. Khapra & more

To appear in the proceedings of the Automated Knowledge Base Construction Conference (AKBC 2021)](https://wsai.iitm.ac.in/publications/a-joint-training-framework-for-open-world-knowledge-graph-embeddings/)

[2021

NetGenes: A Database of Essential Genes Predicted Using Features From Interaction Networks

Vimaladhasan Senthamizhan , Balaraman Ravindran , Karthik Raman

Frontiers in Genetics, vol. 12](https://wsai.iitm.ac.in/publications/netgenes/)

[2021

NetGenes: A Database of Essential Genes Predicted Using Features From Interaction Networks

Vimaladhasan Senthamizhan , Balaraman Ravindran , Karthik Raman

Frontiers in Genetics, vol. 12](https://wsai.iitm.ac.in/publications/netgenes-a-database-of-essential-genes-predicted-using-features-from-interaction-networks/)

[2021

Semi-Supervised Deep Learning for Multiplex Networks

Anasua Mitra , Priyesh Vijayan , Ranbir Sanasam & more

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, p. 1234-1244](https://wsai.iitm.ac.in/publications/semi-supervised-deep-learning-for-multiplex-networks/)

[2021

The art of molecular computing: Whence and whither

Sahana Gangadharan , Karthik Raman

BioEssays, vol. 43, no. 8](https://wsai.iitm.ac.in/publications/the-art-of-molecular-computing-whence/)

[2021

The art of molecular computing: Whence and whither

Sahana Gangadharan , Karthik Raman

BioEssays, vol. 43, no. 8](https://wsai.iitm.ac.in/publications/the-art-of-molecular-computing-whence-and-whither/)

[2021

Corrective Filter Based on Kinematics of Human Hand for Pose Estimation

Joseph H. R. Isaac , M. Manivannan , Balaraman Ravindran

Frontiers in Virtual Reality, vol. 2](https://wsai.iitm.ac.in/publications/single-shot-corrective-cnn-for-anatomically-correct-3d-hand-pose-estimation/)

[2021

Corrective Filter Based on Kinematics of Human Hand for Pose Estimation

Joseph H. R. Isaac , M. Manivannan , Balaraman Ravindran

Frontiers in Virtual Reality, vol. 2](https://wsai.iitm.ac.in/publications/corrective-filter-based-on-kinematics-of-human-hand-for-pose-estimation/)

[2021

Non-Smooth Projected Primal-Dual Dynamical Approach to Solve the Extended Fermat-Torricelli Problem

Rejitha Raveendran , Arun D. Mahindrakar , Umesh Vaidya

IEEE Control Systems Letters, vol. 5, no. 3, p. 1109-1114](https://wsai.iitm.ac.in/publications/non-smooth-projected-primal-dual-dynamical-approach-to-solve-the-extended-fermat-torricelli-problem/)

[2021

Dynamic causal brain circuits during working memory and their functional controllability

Weidong Cai , Srikanth Ryali , Ramkrishna Pasumarthy & more

Nature Communications, vol. 12, no. 1](https://wsai.iitm.ac.in/publications/dynamic-causal-brain-circuits-during-working-memory-and-their-functional-controllability/)

[2021

Simultaneous beamforming and trajectory tracking in a multi-agent formation

Bharat Manvi , Bharath Bhikkaji , Arun D. Mahindrakar

Mediterranean Conference on Control and Automation (MED)](https://wsai.iitm.ac.in/publications/simultaneous-beamforming-and-trajectory-tracking-in-a-multi-agent-formation/)

[2021

RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction

Harsha Kokel , Arjun Manoharan , Sriraam Natarajan & more

Proceedings of the International Conference on Automated Planning and Scheduling (Vol. 31, pp. 533-541)](https://wsai.iitm.ac.in/publications/reprel-integrating-relational-planning-and-reinforcement-learning-for-effective-abstraction/)

[2021

Sequence Neighborhoods Enable Reliable Prediction of Pathogenic Mutations in Cancer Genomes

Shayantan Banerjee , Karthik Raman , Balaraman Ravindran

Cancers, vol. 13, no. 10, p. 2366](https://wsai.iitm.ac.in/publications/sequence-neighborhoods-enable-reliable-prediction/)

[2021

Sequence Neighborhoods Enable Reliable Prediction of Pathogenic Mutations in Cancer Genomes

Shayantan Banerjee , Karthik Raman , Balaraman Ravindran

Cancers, vol. 13, no. 10, p. 2366](https://wsai.iitm.ac.in/publications/sequence-neighborhoods-enable-reliable-prediction-of-pathogenic-mutations-in-cancer-genomes/)

[2021

Exploring antibody repurposing for COVID-19: beyond presumed roles of therapeutic antibodies

Puneet Rawat , Divya Sharma , Ambuj Srivastava & more

Scientific Reports, vol. 11, no. 1](https://wsai.iitm.ac.in/publications/exploring-antibody-repurposing-for-covid-19-beyond-presumed-roles-of-therapeutic-antibodies/)

[2021

Sequential Ski Rental Problem

Anant Shah , Arun Rajkumar

In Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (pp. 1173–1181)](https://wsai.iitm.ac.in/publications/sequential-ski-rental-problem/)

[2021

SEERL: Sample Efficient Ensemble Reinforcement Learning

Rohan Saphal , B Ravindran , Dheevatsa Mudigere & more

Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (pp. 1100–1108)](https://wsai.iitm.ac.in/publications/sample-efficient-ensemble-reinforcement-learning/)

[2021

Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty

Aravind Venugopal , Elizabeth Bondi , Harshavardhan Kamarthi & more

In Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (pp. 1353–1361)](https://wsai.iitm.ac.in/publications/reinforcement-learning-for-unified-allocation-and-patrolling-in-signaling-games-with-uncertainty/)

[2021

CASTLE: A database of synthetic lethal sets predicted from genome-scale metabolic networks

Vimaladhasan Senthamizhan , Sunanda Subramaniam , Arjun Raghavan & more

bioRxiv](https://wsai.iitm.ac.in/publications/castle-a-database-of-synthetic-lethal-sets-predicted-from-genome-scale-metabolic-networks/)

[2021

The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT

Madhura Pande , Aakriti Budhraja , Preksha Nema & more

In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 15, pp. 13613-13621)](https://wsai.iitm.ac.in/publications/the-heads-hypothesis-a-unifying-statistical-approach-towards-understanding-multi-headed-attention-in-bert/)

[2021

Revisiting Link Prediction on Heterogeneous Graphs with A Multi-view Perspective

Anasua Mitra , Priyesh Vijayan , Ranbir Sanasam & more

IEEE International Conference on Data Mining (ICDM 2022)](https://wsai.iitm.ac.in/publications/revisiting-link-prediction-on-heterogeneous-graphs-with-a-multi-view-perspective/)

[2021

Relational Boosted Bandits

Ashutosh Kakadiya , Sriraam Natarajan , B Ravindran

Proceedings of the AAAI Conference on Artificial Intelligence, 35(13), 12123-12130](https://wsai.iitm.ac.in/publications/relational-boosted-bandits/)

[2021

MADRaS : Multi Agent Driving Simulator

Anirban Santara , Sohan Rudra , Sree Aditya Buridi & more

To appear in the Journal of AI Research (JAIR)](https://wsai.iitm.ac.in/publications/madras-multi-agent-driving-simulator/)

[2021

An Enhanced Advising Model in Teacher-Student framework using State Categorization

Daksh Anand , Vaibhav Gupta , Praveen Paruchuri & more

Proceedings of the AAAI Conference on Artificial Intelligence, 35(8), 6653-6660](https://wsai.iitm.ac.in/publications/an-enhanced-advising-model-in-teacher-student-framework-using-state-categorization/)

[2021

A Systematic Evaluation of Object Detection Networks for Scientific Plots

Pritha Ganguly , Nitesh Methani , Mitesh M. Khapra & more

To appear in the Proceedings of the Thirty-Fifth Annual Conference of the Association for Advancement of Artificial Intelligence (AAAI 2021)](https://wsai.iitm.ac.in/publications/a-systematic-evaluation-of-object-detection-networks-for-scientific-plots/)

[2021

Hyperedge Prediction using Tensor Eigenvalue Decomposition

Deepak Maurya , Balaraman Ravindran

To appear in the Journal of Indian Institute of Science, Special Issue on Emerging Trends in Modeling and Analysis of Complex Systems](https://wsai.iitm.ac.in/publications/hyperedge-prediction-using-tensor-eigenvalue-decomposition/)

[2021

Traffic State Estimation using DSRC-Enabled Probe Vehicles

Sarthak Chaturvedi , AbiramiKrishna Ashok , Bhargava Rama Chilukuri

2021 International Conference on COMmunication Systems & NETworkS (COMSNETS), p. 715-722](https://wsai.iitm.ac.in/publications/traffic-state-estimation-using-dsrc-enabled-probe-vehicles/)

[2021

Is it hard to learn a classifier on this dataset?

Sudarsun Santhiappan , Nitin Shravan , Balaraman Ravindran

Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD), p. 299-306](https://wsai.iitm.ac.in/publications/is-it-hard-to-learn-a-classifier-on-this-dataset/)

[2021

Inferring customer occupancy status in for-hire vehicles using PU Learning

Vaishnavi Muralidharan , Nandan Sudarsanam , Balaraman Ravindran

Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD), p. 290-298](https://wsai.iitm.ac.in/publications/inferring-customer-occupancy-status-in-for-hire-vehicles-using-pu-learning/)

[2021

Aided Selection of Sampling Methods for Imbalanced Data Classification

Deep Sahni , Satya Jayadev Pappu , Nirav Bhatt

Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD), p. 198-202](https://wsai.iitm.ac.in/publications/aided-selection-of-sampling-methods-for-imbalanced-data-classification/)

[2021

A semi-supervised approach to growing classification trees

Sudarsun Santhiappan , Balaraman Ravindran

Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD), p. 29-37](https://wsai.iitm.ac.in/publications/a-semi-supervised-approach-to-growing-classification-trees/)

[2021

Two-species community design of lactic acid bacteria for optimal production of lactate

Maziya Ibrahim , Karthik Raman

Computational and Structural Biotechnology Journal, vol. 19, p. 6039-6049](https://wsai.iitm.ac.in/publications/two-species-community-design-of-lactic-acid-bacteria-for-optimal-production-of-lactate/)

[2021

Two-species community design of lactic acid bacteria for optimal production of lactate

Maziya Ibrahim , Karthik Raman

Computational and Structural Biotechnology Journal, vol. 19, p. 6039-6049](https://wsai.iitm.ac.in/publications/two-species-community-design-of-lactic-acid-bacteria-for-optimal-production-of-l/)

[2021

Systems-Theoretic Approaches to Design Biological Networks with Desired Functionalities

Priyan Bhattacharya , Karthik Raman , Arun K. Tangirala

Methods in Molecular Biology, p. 133-155](https://wsai.iitm.ac.in/publications/systems-theoretic-approaches/)

[2021

Systems-Theoretic Approaches to Design Biological Networks with Desired Functionalities

Priyan Bhattacharya , Karthik Raman , Arun K. Tangirala

Methods in Molecular Biology, p. 133-155](https://wsai.iitm.ac.in/publications/systems-theoretic-approaches-to-design-biological-networks-with-desired-functionalities/)

[2021

Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning

Arjun Manoharan , Rahul Ramesh , Balaraman Ravindran

Lecture Notes in Computer Science, p. 509-524](https://wsai.iitm.ac.in/publications/option-encoder-a-framework-for-discovering-a-policy-basis-in-reinforcement-learning/)

[2021

Modelling microbial communities: Harnessing consortia for biotechnological applications

Maziya Ibrahim , Lavanya Raajaraam , Karthik Raman

Computational and Structural Biotechnology Journal, vol. 19, p. 3892-3907](https://wsai.iitm.ac.in/publications/modelling-microbial-communities-harnessing/)

[2021

Modelling microbial communities: Harnessing consortia for biotechnological applications

Maziya Ibrahim , Lavanya Raajaraam , Karthik Raman

Computational and Structural Biotechnology Journal, vol. 19, p. 3892-3907](https://wsai.iitm.ac.in/publications/modelling-microbial-communities-harnessing-consortia-for-biotechnological-applications/)

[2021

GrabQC: Graph Based Query Contextualization for Automated ICD Coding

Jeshuren Chelladurai , Sudarsun Santhiappan , Balaraman Ravindran

Lecture Notes in Computer Science, p. 225-237](https://wsai.iitm.ac.in/publications/grabqc-graph-based-query-contextualization-for-automated-icd-coding/)

[2021

Distributed learning machines for solving forward and inverse problems in partial differential equations

Vikas Dwivedi , Nishant Parashar , Balaji Srinivasan

Neurocomputing, vol. 420, p. 299-316](https://wsai.iitm.ac.in/publications/distributed-learning-machines-for-solving-forward-and-inverse-problems-in-partial-differential-equations/)

[2021

A Multivariate Analysis Framework for Vehicle Detection From Loop Data Under Heterogeneous and Less Lane Disciplined Traffic

Niraj Kumar Singh , Arun K. Tangirala , Lelitha Devi Vanajakshi

IEEE Access, vol. 9, p. 143580-143591](https://wsai.iitm.ac.in/publications/a-multivariate-analysis-framework-for-vehicle-detection-from-loop-data-under-heterogeneous-and-less-lane-disciplined-traffic/)

2020

[2020

Consistent plug-in classifiers for complex objectives and constraints

Shiv Kumar Tavker , Harish Guruprasad , Harikrishna Narasimhan

Advances in Neural Information Processing Systems, 33](https://wsai.iitm.ac.in/publications/consistent-plug-in-classifiers-for-complex-objectives-and-constraints/)

[2020

Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining

Ananya B. Sai , Akash Kumar Mohankumar , Siddhartha Arora & more

Transactions of the Association for Computational Linguistics, vol. 8, p. 810-827](https://wsai.iitm.ac.in/publications/improving-dialog-evaluation-with-a-multi-reference-adversarial-dataset-and-large-scale-pretraining/)

[2020

Hypergraph clustering by iteratively reweighted modularity maximization

Tarun Kumar , Sankaran Vaidyanathan , Harini Ananthapadmanabhan & more

Applied Network Science, vol. 5, no. 1](https://wsai.iitm.ac.in/publications/hypergraph-clustering-by-iteratively-reweighted-modularity-maximization/)

[2020

Electric vehicle routing problem with non-linear charging and load-dependent discharging

Surendra Reddy Kancharla , Gitakrishnan Ramadurai

Expert Systems with Applications, vol. 160, p. 113714](https://wsai.iitm.ac.in/publications/electric-vehicle-routing-problem-with-non-linear-charging-and-load-dependent-discharging/)

[2020

Inductive Bias of Gradient Descent for Exponentially Weight Normalized Smooth Homogeneous Neural Nets

Depen Morwani , Harish G. Ramaswamy

arXiv:2010.12909](https://wsai.iitm.ac.in/publications/inductive-bias-of-gradient-descent-for-exponentially-weight-normalized-smooth-homogeneous-neural-nets/)

[2020

Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks

Sravan Mylavarapu , Mahtab Sandhu , Priyesh Vijayan & more

2020 IEEE Intelligent Vehicles Symposium (IV), p. 321-327](https://wsai.iitm.ac.in/publications/towards-accurate-vehicle-behaviour-classification/)

[2020

A Survey of Evaluation Metrics Used for NLG Systems

Ananya B. Sai , Akash Kumar Mohankumar , Mitesh M. Khapra

ACM Computing Surveys](https://wsai.iitm.ac.in/publications/a-survey-of-evaluation-metrics-used-for-nlg-systems/)

[2020

Topological properties of bus transit networks considering demand and service utilization weight measures

Manju Manohar Manjalavil , Gitakrishnan Ramadurai

Physica A: Statistical Mechanics and its Applications, vol. 555, p. 124683](https://wsai.iitm.ac.in/publications/topological-properties-of-bus-transit-networks-considering-demand-and-service-utilization-weight-measures/)

[2020

Understanding Dynamic Scenes using Graph Convolution Networks

Sravan Mylavarapu , Mahtab Sandhu , Priyesh Vijayan & more

International Conference on Intelligent Robots and Systems](https://wsai.iitm.ac.in/publications/understanding-dynamic-scenes-using-graph-convolution-networks/)

[2020

On the Importance of Local Information in Transformer Based Models

Madhura Pande , Aakriti Budhraja , Preksha Nema & more

arXiv:2008.05828](https://wsai.iitm.ac.in/publications/on-the-importance-of-local-information-in-transformer-based-models/)

[2020

SBML Level 3: an extensible format for the exchange and reuse of biological models

Sarah M Keating , Dagmar Waltemath , Matthias König & more

Molecular Systems Biology, vol. 16, no. 8](https://wsai.iitm.ac.in/publications/sbml-level/)

[2020

SBML Level 3: an extensible format for the exchange and reuse of biological models

Sarah M Keating , Dagmar Waltemath , Matthias König & more

Molecular Systems Biology, vol. 16, no. 8](https://wsai.iitm.ac.in/publications/sbml-level-3-an-extensible-format-for-the-exchange-and-reuse-of-biological-models/)

[2020

MinReact : a systematic approach for identifying minimal metabolic networks

Gayathri Sambamoorthy , Karthik Raman

Bioinformatics, vol. 36, no. 15, p. 4309-4315](https://wsai.iitm.ac.in/publications/minreact/)

[2020

MinReact : a systematic approach for identifying minimal metabolic networks

Gayathri Sambamoorthy , Karthik Raman

Bioinformatics, vol. 36, no. 15, p. 4309-4315](https://wsai.iitm.ac.in/publications/minreact-a-systematic-approach-for-identifying-minimal-metabolic-networks/)

[2020

Incorporating prior knowledge about structural constraints in model identification

Deepak Maurya , Sivadurgaprasad Chinta , Abhishek Sivaram & more

arXiv:2007.04030](https://wsai.iitm.ac.in/publications/incorporating-prior-knowledge-about-structural-constraints-in-model-identification/)

[2020

Metagenome-wide association analysis identifies microbial determinants of post-antibiotic ecological recovery in the gut

Kern Rei Chng , Tarini Shankar Ghosh , Yi Han Tan & more

Nature Ecology & Evolution, vol. 4, no. 9, p. 1256-1267](https://wsai.iitm.ac.in/publications/metagenome-wide-association-analysis-identifies-microbial-determinants-of-post-antibiotic-ecological-recovery-in-the-gut/)

[2020

Metagenome-wide association analysis identifies microbial determinants of post-antibiotic ecological recovery in the gut

Kern Rei Chng , Tarini Shankar Ghosh , Yi Han Tan & more

Nature Ecology & Evolution, vol. 4, no. 9, p. 1256-1267](https://wsai.iitm.ac.in/publications/metagenome-wide-association-analysis-identifies-microbial-determinants-of-post-a/)

[2020

HPRA: Hyperedge Prediction using Resource Allocation

Tarun Kumar , K Darwin , Srinivasan Parthasarathy & more

12th ACM Conference on Web Science, p. 135-143](https://wsai.iitm.ac.in/publications/hyperedge-prediction-using-resource-allocation/)

[2020

State Estimation for Non–linear Fully-implicit, Index-1 Differential Algebraic Equation Systems

Neeraja Srinivasan , Nirav Bhatt , Sridharakumar Narasimhan

2020 American Control Conference (ACC), p. 743-748](https://wsai.iitm.ac.in/publications/state-estimation-for-non-linear-fully-implicit-index1-differential-algebraic-equation-systems/)

[2020

Mycobacterium tuberculosis (Mtb) lipid mediated lysosomal rewiring in infected macrophages modulates intracellular Mtb trafficking and survival

Kuldeep Sachdeva , Manisha Goel , Malvika Sudhakar & more

Journal of Biological Chemistry, vol. 295, no. 27, p. 9192-9210](https://wsai.iitm.ac.in/publications/mycobacterium-tuberculosis-mtb/)

[2020

Mycobacterium tuberculosis (Mtb) lipid mediated lysosomal rewiring in infected macrophages modulates intracellular Mtb trafficking and survival

Kuldeep Sachdeva , Manisha Goel , Malvika Sudhakar & more

Journal of Biological Chemistry, vol. 295, no. 27, p. 9192-9210](https://wsai.iitm.ac.in/publications/mycobacterium-tuberculosis-lipidmediated-lysosomal-rewiring-in-infected-macrophages-modulates-intracellular-mtb-trafficking-and-survival/)

[2020

Machine Learning Applications for Mass Spectrometry-Based Metabolomics

Ulf W. Liebal , An N. T. Phan , Malvika Sudhakar & more

Metabolites, vol. 10, no. 6, p. 243](https://wsai.iitm.ac.in/publications/machine-learning-applications/)

[2020

Machine Learning Applications for Mass Spectrometry-Based Metabolomics

Ulf W. Liebal , An N. T. Phan , Malvika Sudhakar & more

Metabolites, vol. 10, no. 6, p. 243](https://wsai.iitm.ac.in/publications/machine-learning-applications-for-mass-spectrometry-based-metabolomics/)

[2020

Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains

Nazneen N Sultana , Hardik Meisheri , Vinita Baniwal & more

arXiv:2006.04037](https://wsai.iitm.ac.in/publications/reinforcement-learning-for-multi-product-multi-node-inventory-management-in-supply-chains/)

[2020

D y VED eep

Sanjay Ganapathy , Swagath Venkataramani , Giridhur Sriraman & more

ACM Transactions on Embedded Computing Systems, vol. 19, no. 3, p. 1-24](https://wsai.iitm.ac.in/publications/dyvedeep-dynamic-variable-effort-deep-neural-networks/)

[2020

On Incorporating Structural Information to improve Dialogue Response Generation

Nikita Moghe , Priyesh Vijayan , Balaraman Ravindran & more

arXiv:2005.14315](https://wsai.iitm.ac.in/publications/on-incorporating-structural-information-to-improve-dialogue-response-generation/)

[2020

Predicting software defect type using concept-based classification

Sangameshwar Patil , B. Ravindran

Empirical Software Engineering, vol. 25, no. 2, p. 1341-1378](https://wsai.iitm.ac.in/publications/predicting-software-defect-type-using-concept-based/)

[2020

PlotQA: Reasoning over Scientific Plots

Nitesh Methani , Pritha Ganguly , Mitesh M. Khapra & more

2020 IEEE Winter Conference on Applications of Computer Vision (WACV), p. 1516-1525](https://wsai.iitm.ac.in/publications/reasoning-over-scientific-plots/)

[2020

EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks

Sanchari Sen , B Ravindran , Anand Raghunathan

International Conference on Learning Representations](https://wsai.iitm.ac.in/publications/ensembles-of-mixed-precision-deep-networks/)

[2020

Conducting Non-adaptive Experiments in a Live Setting: A Bayesian Approach to Determining Optimal Sample Size

Nandan Sudarsanam , Ramya Chandran , Daniel D. Frey

Journal of Mechanical Design, vol. 142, no. 3](https://wsai.iitm.ac.in/publications/conducting-non-adaptive-experiments-in-live-setting/)

[2020

Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization

Saurabh Desai , Harish G. Ramaswamy

2020 IEEE Winter Conference on Applications of Computer Vision (WACV), p. 972-980](https://wsai.iitm.ac.in/publications/visual-explanations-for-deep-convolutional-network/)

[2020

Interpretability With Accurate Small Models

Abhishek Ghose , Balaraman Ravindran

Frontiers in Artificial Intelligence, vol. 3](https://wsai.iitm.ac.in/publications/interpretability-with-accurate-small-models/)

[2020

Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling

Harshavardhan Kamarthi , Priyesh Vijayan , Bryan Wilder & more

In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems](https://wsai.iitm.ac.in/publications/influence-maximization-in-unknown-social-networks-learning-policies-for-effective-graph-sampling/)

[2020

Thermodynamically consistent estimation of Gibbs free energy from data: data reconciliation approach

Saman Salike , Nirav Bhatt

Bioinformatics, vol. 36, no. 4, p. 1219-1225](https://wsai.iitm.ac.in/publications/thermodynamically-consistent-estimation-gibbs-free-energy/)

[2020

Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis

Parth Natekar , Avinash Kori , Ganapathy Krishnamurthi

Frontiers in Computational Neuroscience, vol. 14](https://wsai.iitm.ac.in/publications/demystifying-brain-tumor-segmentation-networks-interpretability-and-uncertainty-analysis/)

[2020

Optimal Filtering and Residual Analysis in Errors-in-Variables Model Identification

Vipul Mann , Deepak Maurya , Arun K. Tangirala & more

Industrial & Engineering Chemistry Research, vol. 59, no. 5, p. 1953-1965](https://wsai.iitm.ac.in/publications/optimal-filtering-and-residual-analysis-in-errors-in-variables-model-identification/)

[2020

Novel ratio-metric features enable the identification of new driver genes across cancer types

Malvika Sudhakar , Raghunathan Rengaswamy , Karthik Raman

Scientific Reports](https://wsai.iitm.ac.in/publications/novel-ratio-metric-features-enable-identification/)

[2020

MINREACT: an efficient algorithm for identifying minimal metabolic networks

Gayathri Sambamoorthy , Karthik Raman

bioRxiv](https://wsai.iitm.ac.in/publications/minreact-identifying-minimal-metabolic-networks/)

[2020

Comparison of first trimester dating methods for gestational age estimation and their implication on preterm birth classification in a North Indian cohort

Ramya Vijayram , Nikhita Damaraju , Ashley Xavier & more

medRxiv](https://wsai.iitm.ac.in/publications/comparison-first-trimester-dating-methods-gestational/)

[2020

Towards Transparent and Explainable Attention Models

Akash Kumar Mohankumar , Preksha Nema , Sharan Narasimhan & more

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, p. 4206-4216](https://wsai.iitm.ac.in/publications/towards-transparent-and-explainable-attention-models/)

[2020

Towards Interpreting BERT for Reading Comprehension Based QA

Sahana Ramnath , Preksha Nema , Deep Sahni & more

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), p. 3236-3242](https://wsai.iitm.ac.in/publications/towards-interpreting-bert-for-reading-comprehension-based-qa/)

[2020

Temporal Analysis of a Bus Transit Network

Manju Manohar Manjalavil , Gitakrishnan Ramadurai , Balaraman Ravindran

Studies in Computational Intelligence, p. 944-954](https://wsai.iitm.ac.in/publications/temporal-analysis-of-bus-transit-network/)

[2020

Rate of change analysis for interestingness measures

Nandan Sudarsanam , Nishanth Kumar , Abhishek Sharma & more

Knowledge and Information Systems, vol. 62, no. 1, p. 239-258](https://wsai.iitm.ac.in/publications/rate-of-change-analysis-for-interestingness-measures/)

[2020

On the weak link between importance and prunability of attention heads

Aakriti Budhraja , Madhura Pande , Preksha Nema & more

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), p. 3230-3235](https://wsai.iitm.ac.in/publications/on-the-weak-link-between-importance-and-prunability-of-attention-heads/)

[2020

Investigating metabolic interactions in a microbial co-culture through integrated modelling and experiments

Aarthi Ravikrishnan , Lars M. Blank , Smita Srivastava & more

Computational and Structural Biotechnology Journal, vol. 18, p. 1249-1258](https://wsai.iitm.ac.in/publications/investigating-metabolic-interactions-in-a-microbial-co-culture-through-integrated/)

[2020

Investigating metabolic interactions in a microbial co-culture through integrated modelling and experiments

Aarthi Ravikrishnan , Lars M. Blank , Smita Srivastava & more

Computational and Structural Biotechnology Journal, vol. 18, p. 1249-1258](https://wsai.iitm.ac.in/publications/investigating-metabolic-interactions-in-a-microbial-co-culture-through-integrated-modelling-and-experiments/)

[2020

IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages

Divyanshu Kakwani , Anoop Kunchukuttan , Satish Golla & more

Findings of the Association for Computational Linguistics: EMNLP 2020, p. 4948-4961](https://wsai.iitm.ac.in/publications/indicnlpsuite-monolingual-corpora-evaluation-benchmarks-and-pre-trained-multilingual-language-models/)

[2020

A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs

Anasua Mitra , Priyesh Vijayan , Srinivasan Parthasarathy & more

Proceedings of the 2020 SIAM International Conference on Data Mining, p. 487-495](https://wsai.iitm.ac.in/publications/a-unified-non-negative-matrix-factorization-framework-for-semi-supervised-learning-on-graphs/)

[2020

A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering

Tarun Kumar , Sankaran Vaidyanathan , Harini Ananthapadmanabhan & more

Studies in Computational Intelligence, p. 286-297](https://wsai.iitm.ac.in/publications/a-new-measure-of-modularity-in-hypergraph/)

[2020

A new index for information gain in the Bayesian framework⁎

Prem Jagadeesan , Karthik Raman , Arun K. Tangirala

IFAC-PapersOnLine, vol. 53, no. 1, p. 634-639](https://wsai.iitm.ac.in/publications/a-new-index-for-information-gain-in-the-bayesian/)

[2020

A new index for information gain in the Bayesian framework⁎

Prem Jagadeesan , Karthik Raman , Arun K. Tangirala

IFAC-PapersOnLine, vol. 53, no. 1, p. 634-639](https://wsai.iitm.ac.in/publications/a-new-index-for-information-gain-in-the-bayesian-framework/)

2019

[2019

Learning Conserved Networks From Flows

Satya Jayadev P. , Shankar Narasimhan , Nirav Bhatt

arXiv preprint arXiv:1905.08716](https://wsai.iitm.ac.in/publications/learning-conserved-networks-from-flows/)

[2019

On Knowledge Distillation From Complex Networks

Siddhartha Arora , Mitesh M. Khapra , Harish G. Ramaswamy

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1](https://wsai.iitm.ac.in/publications/on-knowledge-distillation-from-complex-networks/)

[2019

Deciphering the metabolic capabilities of Bifidobacteria using genome-scale metabolic models

N. T. Devika , Karthik Raman

Scientific Reports, vol. 9, no. 1](https://wsai.iitm.ac.in/publications/deciphering-the-metabolic-capabilities-of-bifidobacteria/)

[2019

Deciphering the metabolic capabilities of Bifidobacteria using genome-scale metabolic models

N. T. Devika , Karthik Raman

Scientific Reports, vol. 9, no. 1](https://wsai.iitm.ac.in/publications/deciphering-metabolic-capabilities-of-bifidobacteria/)

[2019

Rational metabolic engineering for enhanced alpha-tocopherol production in Helianthus annuus cell culture

Aparajitha Srinivasan , Vijayakumar S , Karthik Raman & more

Biochemical Engineering Journal, vol. 151, p. 107256](https://wsai.iitm.ac.in/publications/rational-metabolic-engineering-for-enhanced-alpha-tocopherol-production-in-helia/)

[2019

Rational metabolic engineering for enhanced alpha-tocopherol production in Helianthus annuus cell culture

Aparajitha Srinivasan , Vijayakumar S , Karthik Raman & more

Biochemical Engineering Journal, vol. 151, p. 107256](https://wsai.iitm.ac.in/publications/rational-metabolic-engineering-enhanced-alpha-tocopherol/)

[2019

Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems

Suman Banerjee , Mitesh M. Khapra

Transactions of the Association for Computational Linguistics, vol. 7, p. 485-500](https://wsai.iitm.ac.in/publications/graph-convolutional-network-with-sequential-attention/)

[2019

A priori parameter identifiability in models with non-rational functions

Rishabh Jain , Sridharakumar Narasimhan , Nirav P. Bhatt

Automatica, vol. 109, p. 108513](https://wsai.iitm.ac.in/publications/a-priori-parameter-identifiability-in-models-with-non-rational-functions/)

[2019

Let's Ask Again: Refine Network for Automatic Question Generation

Preksha Nema , Akash Kumar Mohankumar , Mitesh M. Khapra & more

In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing](https://wsai.iitm.ac.in/publications/refine-network-for-automatic-question-generation/)

[2019

Assessment of network module identification across complex diseases

Sarvenaz Choobdar , Mehmet E. Ahsen , Jake Crawford & more

Nature Methods, vol. 16, no. 9, p. 843-852](https://wsai.iitm.ac.in/publications/assessment-of-network-module-identification-across-complex-diseases/)

[2019

Assessment of network module identification across complex diseases

Sarvenaz Choobdar , Mehmet E. Ahsen , Jake Crawford & more

Nature Methods, vol. 16, no. 9, p. 843-852](https://wsai.iitm.ac.in/publications/assessment-of-network-module-identification-across-compled-diseases/)

[2019

Generalized random Surfer-Pair models

Sai Kiran Narayanaswami , Balaraman Ravindran , Venkatesh Ramaiyan

Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, p. 452-455](https://wsai.iitm.ac.in/publications/generalized-random-surfer-pair-models/)

[2019

Extraction of Pure Species Spectra from Labeled Mixture Spectral Data

Abhishek Baikadi , Nirav Bhatt , Shankar Narasimhan

Industrial & Engineering Chemistry Research, vol. 58, no. 30, p. 13437-13447](https://wsai.iitm.ac.in/publications/extraction-pure-species-spectra-from-labeled-mixture-spectral-data/)

[2019

Analysis of Experimental Conditions, Measurement Strategies, and Model Identification Approaches on Parameter Estimation in Plug Flow Reactors

Manokaran V , Tirthankar Sengupta , Sridharakumar Narasimhan & more

Industrial & Engineering Chemistry Research, vol. 58, no. 30, p. 13767-13779](https://wsai.iitm.ac.in/publications/analysis-of-experimental-conditions-measurement-strategies/)

[2019

Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses

Ananya B. Sai , Mithun Das Gupta , Mitesh M. Khapra & more

Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, no. 01, p. 6220-6227](https://wsai.iitm.ac.in/publications/re-evaluating-adem-a-deeper-look/)

[2019

Extra: Transfer-guided exploration

Anirban Santara , Rishabh Madan , B Ravindran & more

In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems](https://wsai.iitm.ac.in/publications/extra-transfer-guided-exploration/)

[2019

Optimal replicates for designed experiments under the online framework

Nandan Sudarsanam , Balaji Pitchai Kannu , Daniel D. Frey

Research in Engineering Design, vol. 30, no. 3, p. 363-379](https://wsai.iitm.ac.in/publications/optimal-replicates-for-designed-experiments-under-the-on-line-framework/)

[2019

Uncovering Novel Pathways for Enhancing Hyaluronan Synthesis in Recombinant Lactococcus lactis: Genome-Scale Metabolic Modeling and Experimental Validation

Abinaya Badri , Karthik Raman , Guhan Jayaraman

Processes, vol. 7, no. 6, p. 343](https://wsai.iitm.ac.in/publications/uncovering-novel-pathways-for-enhancing-hyaluronan/)

[2019

Uncovering Novel Pathways for Enhancing Hyaluronan Synthesis in Recombinant Lactococcus lactis: Genome-Scale Metabolic Modeling and Experimental Validation

Abinaya Badri , Karthik Raman , Guhan Jayaraman

Processes, vol. 7, no. 6, p. 343](https://wsai.iitm.ac.in/publications/uncovering-novel-pathways-for-enhancing-hyaluronan-synthesis-in-recombinant-lact/)

[2019

Efficient Video Classification Using Fewer Frames

Shweta Bhardwaj , Mukundhan Srinivasan , Mitesh M. Khapra

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), p. 354-363](https://wsai.iitm.ac.in/publications/efficient-video-classification-using-fewer-frames/)

[2019

Effect of Inter-layer Coupling on Multilayer Network Centrality Measures

Tarun Kumar , Manikandan Narayanan , Balaraman Ravindran

Journal of the Indian Institute of Science, vol. 99, no. 2, p. 237-246](https://wsai.iitm.ac.in/publications/effect-of-interlayer-coupling-on-multilayer-network-centrality-measures/)

[2019

Edge Replacement Grammars : A Formal Language Approach for Generating Graphs

Revanth Reddy , Sarath Chandar , Balaraman Ravindran

Proceedings of the 2019 SIAM International Conference on Data Mining, p. 351-359](https://wsai.iitm.ac.in/publications/edge-replacement-grammars-a-formal-language-approach/)

[2019

Evolutionary design principles in metabolism

Gayathri Sambamoorthy , Himanshu Sinha , Karthik Raman

Proceedings of the Royal Society B: Biological Sciences, vol. 286, no. 1898, p. 20190098](https://wsai.iitm.ac.in/publications/evolutionary-design-principles-in-metabolism/)

[2019

Adapting Community Detection Algorithms for Disease Module Identification in Heterogeneous Biological Networks

Beethika Tripathi , Srinivasan Parthasarathy , Himanshu Sinha & more

Frontiers in Genetics, vol. 10](https://wsai.iitm.ac.in/publications/adapting-community-detection-algorithms-for-disease-module-identification/)

[2019

Adapting Community Detection Algorithms for Disease Module Identification in Heterogeneous Biological Networks

Beethika Tripathi , Srinivasan Parthasarathy , Himanshu Sinha & more

Frontiers in Genetics, vol. 10](https://wsai.iitm.ac.in/publications/adapting-community-detection-algorithms-for-disease-module-identification-in-het/)

[2019

Studying the plasticity in deep convolutional neural networks using random pruning

Deepak Mittal , Shweta Bhardwaj , Mitesh M. Khapra & more

Machine Vision and Applications, vol. 30, no. 2, p. 203-216](https://wsai.iitm.ac.in/publications/studying-plasticity-deep-convolutional-neural-network/)

[2019

Optimal power distribution control for a network of fuel cell stacks

Resmi Suresh , Ganesh Sankaran , Sreeram Joopudi & more

Journal of Process Control, vol. 74, p. 88-98](https://wsai.iitm.ac.in/publications/optimal-power-distribution-control/)

[2019

Pack and Detect

Athindran Ramesh Kumar , Balaraman Ravindran , Anand Raghunathan

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, p. 150-156](https://wsai.iitm.ac.in/publications/pack-and-detect-fast-object-detection-in-videos/)

[2019

Time Series Analysis of Surface EMG Signal - Linear, Non Linear and Chaotic Approaches

Moirangthem Sailash Singh , Ramkrishna Pasumarthy , Viswanath Talasila

2019 Fifth Indian Control Conference (ICC), p. 442-447](https://wsai.iitm.ac.in/publications/time-series-analysis-of-surface-emg-signal/)

[2019

Prediction error-based clustering approach for multiple-model learning using statistical testing

Sivadurgaprasad Chinta , Abhishek Sivaram , Raghunathan Rengaswamy

Engineering Applications of Artificial Intelligence, vol. 77, p. 125-135](https://wsai.iitm.ac.in/publications/prediction-error-based-clustering/)

[2019

Metabolite systems profiling identifies exploitable weaknesses in retinoblastoma

Swagatika Sahoo , Ranjith Kumar Ravi Kumar , Brandon Nicolay & more

FEBS Letters, vol. 593, no. 1, p. 23-41](https://wsai.iitm.ac.in/publications/metabolite-systems-profiling-identifies-exploitable-weaknesses/)

[2019

Metabolite systems profiling identifies exploitable weaknesses in retinoblastoma

Swagatika Sahoo , Ranjith Kumar Ravi Kumar , Brandon Nicolay & more

FEBS Letters, vol. 593, no. 1, p. 23-41](https://wsai.iitm.ac.in/publications/metabolite-systems-profiling-identifies-exploitable-weaknesses-in-retinoblastoma/)

[2019

Let’s Ask Again: Refine Network for Automatic Question Generation

Preksha Nema , Akash Kumar Mohankumar , Mitesh M. Khapra & more

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), p. 3312-3321](https://wsai.iitm.ac.in/publications/lets-ask-again-refine-network-for-automatic-question-generation/)

[2019

Development and Evaluation of a low-cost WiFi Media Access Control Scanner as Traffic Sensor

Satya Sundar Patra , Bharathiraja Muthurajan , Bhargava Rama Chilukuri & more

2019 11th International Conference on Communication Systems & Networks (COMSNETS), p. 777-782](https://wsai.iitm.ac.in/publications/development-and-evaluation-of-a-low-cost-wifi-media-access-control/)

[2019

A Game Theoretic Formulation of Path Selection in Urban Transportation Networks

Subhadeep Kumar , Ramkrishna Pasumarthy , Nirav P. Bhatt

2019 Fifth Indian Control Conference (ICC), p. 395-400](https://wsai.iitm.ac.in/publications/a-game-theoretic-formulation-of-path-selection/)

2018

[2018

Learning to Multi-Task by Active Sampling

Sahil Sharma , Ashutosh Kumar Jha , Parikshit S Hegde & more

International Conference on Learning Representations](https://wsai.iitm.ac.in/publications/learning-to-multi-task-by-active-sampling/)

[2018

Learning to Prevent Monocular SLAM Failure using Reinforcement Learning

Vignesh Prasad , Karmesh Yadav , Rohitashva Singh Saurabh & more

Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing, p. 1-9](https://wsai.iitm.ac.in/publications/learning-to-prevent-monocular-slam-failure-using-reinforcement-learning/)

[2018

Network-based features enable prediction of essential genes across diverse organisms

Karthik Azhagesan , Balaraman Ravindran , Karthik Raman

PLOS ONE, vol. 13, no. 12, p. e0208722](https://wsai.iitm.ac.in/publications/network-based-features-enable-prediction-of-essential-genes/)

[2018

Network-based features enable prediction of essential genes across diverse organisms

Karthik Azhagesan , Balaraman Ravindran , Karthik Raman

PLOS ONE, vol. 13, no. 12, p. e0208722](https://wsai.iitm.ac.in/publications/network-based-features-enable-prediction-of-essential-genes-across-diverse-organ/)

[2018

RAIL: Risk-Averse Imitation Learning

Anirban Santara , Abhishek Naik , B Ravindran & more

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems](https://wsai.iitm.ac.in/publications/rail-risk-averse-imitation-learning/)

[2018

Efficient-UCBV: An Almost Optimal Algorithm using Variance Estimates

Subhojyoti Mukherjee , KP Naveen , Nandan Sudarsanam & more

Proceedings of the AAAI Conference on Artificial Intelligence](https://wsai.iitm.ac.in/publications/efficient-ucbv-an-almost-optimal-algorithm/)

[2018

Modeling and control of battery systems. Part II: A model predictive controller for optimal charging

Resmi Suresh , Raghunathan Rengaswamy

Computers & Chemical Engineering, vol. 119, p. 326-335](https://wsai.iitm.ac.in/publications/modeling-and-control-of-battery-systems/)

[2018

Modeling and control of battery systems. Part I: Revisiting Butler–Volmer equations to model non-linear coupling of various capacity fade mechanisms

Resmi Suresh , Raghunathan Rengaswamy

Computers & Chemical Engineering, vol. 119, p. 336-351](https://wsai.iitm.ac.in/publications/modeling-and-control-of-battery-systems-part-i/)

[2018

Systems-Level Modelling of Microbial Communities: Theory and Practice

Aarthi Ravikrishnan , Karthik Raman

Book](https://wsai.iitm.ac.in/publications/systems-level-modelling/)

[2018

Identification of Errors-in-Variables Models Using Dynamic Iterative Principal Component Analysis

Deepak Maurya , Arun K. Tangirala , Shankar Narasimhan

Industrial & Engineering Chemistry Research, vol. 57, no. 35, p. 11939-11954](https://wsai.iitm.ac.in/publications/identification-of-errors-in-variables-models/)

[2018

Understanding the evolution of functional redundancy in metabolic networks

Gayathri Sambamoorthy , Karthik Raman

Bioinformatics, vol. 34, no. 17, p. i981-i987](https://wsai.iitm.ac.in/publications/understanding-the-evolution-of-functional/)

[2018

Understanding the evolution of functional redundancy in metabolic networks

Gayathri Sambamoorthy , Karthik Raman

Bioinformatics, vol. 34, no. 17, p. i981-i987](https://wsai.iitm.ac.in/publications/understanding-the-evolution-of-functional-redundancy-in-metabolic-networks/)

[2018

Identifying Topology of Low Voltage Distribution Networks Based on Smart Meter Data

Satya Jayadev Pappu , Nirav Bhatt , Ramkrishna Pasumarthy & more

IEEE Transactions on Smart Grid, vol. 9, no. 5, p. 5113-5122](https://wsai.iitm.ac.in/publications/identifying-topology-of-low-voltage-distribution-networks/)

[2018

A novel approach for benchmarking and assessing the performance of state estimators

Laya Das , Gaurav Kumar , Raghunathan Rengaswamy & more

ISA Transactions, vol. 80, p. 137-145](https://wsai.iitm.ac.in/publications/a-novel-approach-for-benchmarking-and-assessing/)

[2018

Improved Insights on Financial Health through Partially Constrained Hidden Markov Model Clustering on Loan Repayment Data

Dibu John Philip , Nandan Sudarsanam , Balaraman Ravindran

ACM SIGMIS Database: the DATABASE for Advances in Information Systems, vol. 49, no. 3, p. 98-113](https://wsai.iitm.ac.in/publications/improved-insights-on-financial-health-through-partially-constrained/)

[2018

Enumerating all possible biosynthetic pathways in metabolic networks

Aarthi Ravikrishnan , Meghana Nasre , Karthik Raman

Scientific Reports, vol. 8, no. 1](https://wsai.iitm.ac.in/publications/enumerating-all-possible-biosynthetic-pathways-in-metabolic-networks/)

[2018

Shared mechanisms among neurodegenerative diseases: from genetic factors to gene networks

Douglas Arneson , Yong Zhang , Xia Yang & more

Journal of Genetics, vol. 97, no. 3, p. 795-806](https://wsai.iitm.ac.in/publications/shared-mechanisms-among-neurodegenerative-diseases/)

[2018

Overtaking Maneuvers in Simulated Highway Driving using Deep Reinforcement Learning

Meha Kaushik , Vignesh Prasad , K Madhava Krishna & more

2018 IEEE Intelligent Vehicles Symposium (IV), p. 1885-1890](https://wsai.iitm.ac.in/publications/overtaking-maneuvers-in-simulated-highway-driving/)

[2018

Gene–gene and gene–environment interactions in complex traits in yeast

Anupama Yadav , Himanshu Sinha

Yeast, vol. 35, no. 6, p. 403-416](https://wsai.iitm.ac.in/publications/gene-gene-and-gene-environment-interactions-in-complex-traits-in-yeast/)

[2018

On the primal-dual dynamics of Support Vector Machines

Krishna Chaitanya Kosaraju , Shravan Mohan , Ramkrishna Pasumarthy

arXiv preprint arXiv:1805.00699](https://wsai.iitm.ac.in/publications/on-the-primal-dual-dynamics-of-support-vector-machines/)

[2018

On Controllable Sparse Alternatives to Softmax

Anirban Laha , Saneem Ahmed Chemmengath , Priyanka Agrawal & more

Advances in Neural Information Processing Systems](https://wsai.iitm.ac.in/publications/on-controllable-sparse-alternatives-to-softmax/)

[2018

Consistent algorithms for multiclass classification with a reject option

Harish G Ramaswamy , Ambuj Tewari , Shivani Agarwal

arXiv preprint arXiv:1505.04137](https://wsai.iitm.ac.in/publications/consistent-algorithms-for-multiclass-classification.jpg/)

[2018

Urban Arterial Travel Time Prediction Using Support Vector Regression

Anna Mary Philip , Gitakrishnan Ramadurai , Lelitha Vanajakshi

Transportation in Developing Economies, vol. 4, no. 1](https://wsai.iitm.ac.in/publications/travel-time-prediction-using-support-vector-regression/)

[2018

A Dataset for Building Code-Mixed Goal Oriented Conversation Systems

Suman Banerjee , Nikita Moghe , Siddhartha Arora & more

arXiv preprint arXiv:1806.05997](https://wsai.iitm.ac.in/publications/a-dataset-for-building-code-mixed-goal-oriented-conversation-systems/)

[2018

Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks

Deepak Mittal , Shweta Bhardwaj , Mitesh M. Khapra & more

2018 IEEE Winter Conference on Applications of Computer Vision (WACV), p. 848-857](https://wsai.iitm.ac.in/publications/recovering-from-random-pruning-on-the-plasticity-of-deep-convolutional-neural-networks/)

[2018

ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions

Soham Parikh , Ananya Sai , Preksha Nema & more

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence](https://wsai.iitm.ac.in/publications/eliminet-a-model-for-eliminating-options-for-reading/)

[2018

A novel topic modeling based weighting framework for class imbalance learning

Sudarsun Santhiappan , Jeshuren Chelladurai , Balaraman Ravindran

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, p. 20-29](https://wsai.iitm.ac.in/publications/a-novel-topic-modeling-based-weighting/)

[2018

A neural attention based approach for clickstream mining

Chandramohan T N , Balaraman Ravindran

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, p. 118-127](https://wsai.iitm.ac.in/publications/a-neural-attention-based-approach-for-clickstream-mining/)

[2018

Using Linear Stochastic Bandits to extend traditional offline Designed Experiments to online settings

Nandan Sudarsanam , Balaraman Ravindran

Computers & Industrial Engineering, vol. 115, p. 471-485](https://wsai.iitm.ac.in/publications/using-linear-stochastic-bandits/)

[2018

Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data

Deepak Mittal , Avinash Reddy , Gitakrishnan Ramadurai & more

2018 10th International Conference on Communication Systems & Networks (COMSNETS), p. 589-594](https://wsai.iitm.ac.in/publications/training-a-deep-learning-architecture.jpg/)

[2018

Tracking and stabilization of mechanical systems using reinforcement learning

S Bhuvaneswari , Ramkrishna Pasumarthy , Balaraman Ravindran & more

2018 Indian Control Conference (ICC), p. 206-211](https://wsai.iitm.ac.in/publications/tracking-and-stabilization-of-mechanical-systems/)

[2018

Towards Exploiting Background Knowledge for Building Conversation Systems

Nikita Moghe , Siddhartha Arora , Suman Banerjee & more

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing](https://wsai.iitm.ac.in/publications/towards-exploiting-background-knowledge-for-building-conversation-systems/)

[2018

Towards a Better Metric for Evaluating Question Generation Systems

Preksha Nema , Mitesh M. Khapra

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing](https://wsai.iitm.ac.in/publications/towards-a-better-metric-for-evaluating-question-generation-systems/)

[2018

Mining bus stops from raw GPS data of bus trajectories

Nandani Garg , Gitakrishnan Ramadurai , Sayan Ranu

2018 10th International Conference on Communication Systems & Networks (COMSNETS), p. 583-588](https://wsai.iitm.ac.in/publications/mining-bus-stops-from-raw-gps-data/)

[2018

Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization

Preksha Nema , Shreyas Shetty , Parag Jain & more

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), p. 1539-1550](https://wsai.iitm.ac.in/publications/generating-descriptions-from-structured-data/)

[2018

Computational Prediction of Synthetic Lethals in Genome-Scale Metabolic Models Using Fast-SL

Karthik Raman , Aditya Pratapa , Omkar Mohite & more

Methods in Molecular Biology, p. 315-336](https://wsai.iitm.ac.in/publications/computational-prediction-of-synthetic-lethals/)

[2018

Computational Prediction of Synthetic Lethals in Genome-Scale Metabolic Models Using Fast-SL

Karthik Raman , Aditya Pratapa , Omkar Mohite & more

Methods in Molecular Biology, p. 315-336](https://wsai.iitm.ac.in/publications/computational-prediction-of-synthetic-lethals-in-genome-scale-metabolic-models-using-fast-sl/)

[2018

Actuator network design to mitigate contamination effects in Water Distribution Networks

Venkata Reddy Palleti , Varghese Kurian , Shankar Narasimhan & more

Computers & Chemical Engineering, vol. 108, p. 194-205](https://wsai.iitm.ac.in/publications/actuator-network-design-to-mitigate-contamination/)

[2018

A systems-theoretic approach towards designing biological networks for perfect adaptation

Priyan Bhattacharya , Karthik Raman , Arun K. Tangirala

IFAC-PapersOnLine, vol. 51, no. 1, p. 307-312](https://wsai.iitm.ac.in/publications/a-systems-theoretic-approach-towards-designing/)

[2018

A systems-theoretic approach towards designing biological networks for perfect adaptation

Priyan Bhattacharya , Karthik Raman , Arun K. Tangirala

IFAC-PapersOnLine, vol. 51, no. 1, p. 307-312](https://wsai.iitm.ac.in/publications/a-systems-theoretic-approach-towards-designing-biological-networks-for-perfect-a/)

[2018

A Partial Parameter HMM Based Clustering on Loan Repayment Data: Insights into Financial Behavior and Intent to Repay

Dibu Philip , Nandan Sudarsanam , Balaraman Ravindran

Proceedings of the Annual Hawaii International Conference on System Sciences](https://wsai.iitm.ac.in/publications/a-partial-parameter-hmm-based-clustering/)

2017

[2017

Predicting novel metabolic pathways through subgraph mining

Aravind Sankar , Sayan Ranu , Karthik Raman

Bioinformatics, vol. 33, no. 24, p. 3955-3963](https://wsai.iitm.ac.in/publications/predicting-novel-metabolic-pathways-through-subgraph-mining/)

[2017

DCEIL: Distributed Community Detection with the CEIL Score

Akash Jain , Rupesh Nasre , Balaraman Ravindran

2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), p. 146-153](https://wsai.iitm.ac.in/publications/dceil-distributed-community-detection-with-the-ceil/)

[2017

Class Imbalance Learning

S. Santhiappan , B Ravindran

Advanced Computing and Communications](https://wsai.iitm.ac.in/publications/class-imbalance-learning/)

[2017

Learning to repeat: Fine grained action repetition for deep reinforcement learning

Sahil Sharma , Aravind S Lakshminarayanan , B Ravindran

ICLR](https://wsai.iitm.ac.in/publications/learning-to-repeat-fine-grained-action-repetition/)

[2017

Data Driven Strategies for Active Monocular SLAM using Inverse Reinforcement Learning

Vignesh Prasad , Rishabh Jangir , B Balaraman & more

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems](https://wsai.iitm.ac.in/publications/data-driven-strategies-for-active-monocular-slam-using-inverse-reinforcement-learning/)

[2017

Attend, Adapt, and Transfer: Attentive Deep Architecture for Adaptive Transfer from Multiple Sources in the Same Domain

Janarthanan Rajendran , Aravind S. Lakshminarayanan , Mitesh M Khapra & more

International Conference on Learning Representations](https://wsai.iitm.ac.in/publications/attend-adapt-and-transfer-attentive-deep-architecture-for-adaptive-transfer/)

[2017

Thresholding Bandits with Augmented UCB

Subhojyoti Mukherjee , Naveen Kolar Purushothama , Nandan Sudarsanam & more

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, p. 2515-2521](https://wsai.iitm.ac.in/publications/thresholding-bandits-with-augmented-ucb/)

[2017

Data mining and control loop performance assessment: The multivariate case

Laya Das , Raghunathan Rengaswamy , Babji Srinivasan

AIChE Journal, vol. 63, no. 8, p. 3311-3328](https://wsai.iitm.ac.in/publications/data-mining-and-control-loop-performance-assessment/)

[2017

Dynamic Action Repetition for Deep Reinforcement Learning

Aravind S Lakshminarayanan , Sahil Sharma , B Ravindran

Proceedings of the AAAI Conference on Artificial Intelligence](https://wsai.iitm.ac.in/publications/dynamic-action-repetition-for-deep-reinforcement-learning/)

[2017

Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy

Pratik Vinay Gupte , Balaraman Ravindran , Srinivasan Parthasarathy

2017 IEEE 33rd International Conference on Data Engineering (ICDE), p. 771-782](https://wsai.iitm.ac.in/publications/role-discovery-in-graphs-using-global-features-algorithms/)

[2017

Elucidating the biosynthetic pathways of volatile organic compounds in Mycobacterium tuberculosis through a computational approach

Purva Bhatter , Karthik Raman , Vani Janakiraman

Molecular BioSystems, vol. 13, no. 4, p. 750-755](https://wsai.iitm.ac.in/publications/elucidating-the-biosynthetic-pathways-of-volatile-organic-compounds/)

[2017

Elucidating the biosynthetic pathways of volatile organic compounds in Mycobacterium tuberculosis through a computational approach

Purva Bhatter , Karthik Raman , Vani Janakiraman

Molecular BioSystems, vol. 13, no. 4, p. 750-755](https://wsai.iitm.ac.in/publications/elucidating-the-biosynthetic-pathways-of-volatile-organic-compounds-in-mycobacte/)

[2017

A General Mechanism for the Propagation of Mutational Effects in Proteins

Nandakumar Rajasekaran , Swaathiratna Suresh , Soundhararajan Gopi & more

Biochemistry, vol. 56, no. 1, p. 294-305](https://wsai.iitm.ac.in/publications/a-general-mechanism-for-the-propagation-of-mutational/)

[2017

A General Mechanism for the Propagation of Mutational Effects in Proteins

Nandakumar Rajasekaran , Swaathiratna Suresh , Soundhararajan Gopi & more

Biochemistry, vol. 56, no. 1, p. 294-305](https://wsai.iitm.ac.in/publications/a-general-mechanism-for-the-propagation-of-mutational-effects-in-proteins/)

[2017

In Silico Approaches to Metabolic Engineering

A. Badri , A. Srinivasan , K. Raman

Current Developments in Biotechnology and Bioengineering, p. 161-200](https://wsai.iitm.ac.in/publications/current-developments-in-biotechnology-and-bioengineering/)

[2017

Diversity driven attention model for query-based abstractive summarization

Preksha Nema , Mitesh M. Khapra , Anirban Laha & more

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), p. 1063-1072](https://wsai.iitm.ac.in/publications/diversity-driven-attention-model-for-query-based-abstractive/)

2016

[2016

Statistical analysis of bus networks in India

Atanu Chatterjee , Manju Manohar , Gitakrishnan Ramadurai

PloS one](https://wsai.iitm.ac.in/publications/statistical-analysis-of-bus-networks-in-india/)

[2016

EPOpt: Learning Robust Neural Network Policies Using Model Ensembles

Aravind Rajeswaran , Sarvjeet Ghotra , Sergey Levine & more

ICLR](https://wsai.iitm.ac.in/publications/epopt-learning-robust-neural-network-policies/)

[2016

Dynamic frame skip deep q network

Aravind S Lakshminarayanan , Sahil Sharma , B Ravindran

IJCAI 2016 Workshop on Deep Reinforcement Learning: Frontiers and Challenges](https://wsai.iitm.ac.in/publications/dynamic-frame-skip-deep-q-network/)

[2016

HEMI: Hyperedge Majority Influence Maximization

Varun Gangal , B Ravindran , Ramasuri Narayanam

arXiv preprint arXiv:1606.05065](https://wsai.iitm.ac.in/publications/hemi-hyperedge-majority-influence-maximization/)

[2016

Trust and distrust across coalitions: shapley value based centrality measures for signed networks

B Ravindran , A. Narwekar , V. Gangal & more

In the Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence](https://wsai.iitm.ac.in/publications/trust-and-distrust-across-coalitions-shapley-value-based-centrality-/)

[2016

Multivariate Control Loop Performance Assessment With Hurst Exponent and Mahalanobis Distance

Laya Das , Babji Srinivasan , Raghunathan Rengaswamy

IEEE Transactions on Control Systems Technology, vol. 24, no. 3, p. 1067-1074](https://wsai.iitm.ac.in/publications/multivariate-control-loop-performance-assessment-based-on-scaling-exponent/)

[2016

Sensor network design for contaminant detection and identification in water distribution networks

Venkata Reddy Palleti , Shankar Narasimhan , R. Rengaswamy & more

Computers & Chemical Engineering, vol. 87, p. 246-256](https://wsai.iitm.ac.in/publications/sensor-network-design-for-contaminant-detection-and-identification/)

[2016

In Silico Approaches to Metabolic Engineering

A Badri , A Srinivasan , Karthik Raman

Current Developments in Biotechnology and Bioengineering](https://wsai.iitm.ac.in/publications/in-silico-approaches-to-metabolic-engineeringin-current-developments-in-biotechnology/)

[2016

Correlational Neural Networks

Sarath Chandar , Mitesh M. Khapra , Hugo Larochelle & more

Neural Computation, vol. 28, no. 2, p. 257-285](https://wsai.iitm.ac.in/publications/correlational-neural-networks/)

[2016

Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning

Janarthanan Rajendran , Mitesh M. Khapra , Sarath Chandar & more

Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, p. 171-181](https://wsai.iitm.ac.in/publications/bridge-correlational-neural-networks-for-multilingual/)

2015

[2015

Nonparametric Poisson Factorization Machine

Avijit Saha , Ayan Acharya , Balaraman Ravindran & more

2015 IEEE International Conference on Data Mining, p. 967-972](https://wsai.iitm.ac.in/publications/nonparametric-poisson-factorization-machine/)

[2015

Critical assessment of genome-scale metabolic networks: the need for a unified standard

A. Ravikrishnan , K. Raman

Briefings in Bioinformatics, vol. 16, no. 6, p. 1057-1068](https://wsai.iitm.ac.in/publications/critical-assessment-of-genome-scale-metabolic-networks-the-need-for-a-unified-st/)

[2015

Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources

Janarthanan Rajendran , Aravind Lakshminarayanan , Mitesh M Khapra & more

arXiv preprint arXiv:1510.02879](https://wsai.iitm.ac.in/publications/attend-adapt-and-transfer-attentive-deep-architecture/)

[2015

Fast-SL: an efficient algorithm to identify synthetic lethal sets in metabolic networks

Aditya Pratapa , Shankar Balachandran , Karthik Raman

Bioinformatics, vol. 31, no. 20, p. 3299-3305](https://wsai.iitm.ac.in/publications/fast-sl/)

[2015

Fast-SL: an efficient algorithm to identify synthetic lethal sets in metabolic networks

Aditya Pratapa , Shankar Balachandran , Karthik Raman

Bioinformatics, vol. 31, no. 20, p. 3299-3305](https://wsai.iitm.ac.in/publications/fast-sl-an-efficient-algorithm-to-identify/)

[2015

Parallelization of game theoretic centrality algorithms

M Vishnu Sankar , B Ravindran

Sadhana](https://wsai.iitm.ac.in/publications/parallelization-of-game-theoretic-centrality-algorithms/)

[2015

Near optimal strategies for targeted marketing in social networks

Ramakumar Pasumarthi , Ramasuri Narayanam , B Ravindran

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems](https://wsai.iitm.ac.in/publications/near-optimal-strategies-for-targeted-marketing/)

[2015

COMMIT

Saket Gurukar , Sayan Ranu , Balaraman Ravindran

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, p. 475-489](https://wsai.iitm.ac.in/publications/commit-a-scalable-approach-to-mining-communication/)

[2015

Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning.

Sai Nageswar Satchidanand , Harini Ananthapadmanaban , B Ravindran

IJCAI](https://wsai.iitm.ac.in/publications/extended-discriminative-random-walk-a-hypergraph/)

[2015

Measuring network centrality using hypergraphs

Sanjukta Roy , Balaraman Ravindran

Proceedings of the Second ACM IKDD Conference on Data Sciences, p. 59-68](https://wsai.iitm.ac.in/publications/measuring-network-centrality-using-hypergraphs/)

[2015

CEIL: a scalable, resolution limit free approach for detecting communities in large networks.

Vishnu Sankar , B Ravindran , S Shivashankar

Twenty-Fourth International Joint Conference on Artificial Intelligence](https://wsai.iitm.ac.in/publications/ceil-a-scalable-resolution-limit-free-approach-for-detecting-communities/)

[2015

Hierarchical activity recognition for dementia care using Markov Logic Network

K. S. Gayathri , Susan Elias , Balaraman Ravindran

Personal and Ubiquitous Computing, vol. 19, no. 2, p. 271-285](https://wsai.iitm.ac.in/publications/hierarchical-activity-recognition-for-dementia-care/)

2014

[2014

An autoencoder approach to learning bilingual word representations

Sarath Chandar AP , Stanislas Lauly , Hugo Larochelle & more

Advances in Neural Information Processing Systems](https://wsai.iitm.ac.in/publications/an-autoencoder-approach-to-learning-bilingual-word-representations/)

[2014

Revisiting Robustness and Evolvability: Evolution in Weighted Genotype Spaces

Raghavendran Partha , Karthik Raman

PLoS ONE, vol. 9, no. 11, p. e112792](https://wsai.iitm.ac.in/publications/revisiting-robustness-and-evolvability-evolution-in-weighted-genotype-spaces/)

[2014

Multi-label collective classification in multi-attribute multi-relational network data

Priyesh Vijayan , Shivashankar Subramanian , Balaraman Ravindran

2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), p. 509-514](https://wsai.iitm.ac.in/publications/multi-label-collective-classification-in-multi-attribute/)

[2014

RRTPI: Policy iteration on continuous domains using rapidly-exploring random trees

Manimaran Sivasamy Sivamurugan , Balaraman Ravindran

2014 IEEE International Conference on Robotics and Automation (ICRA), p. 4362-4367](https://wsai.iitm.ac.in/publications/rrtpi-policy-iteration-on-continuous-domains/)

[2014

An extended reinforcement learning model of basal ganglia to understand the contributions of serotonin and dopamine in risk-based decision making, reward prediction, and punishment learning

Pragathi P. Balasubramani , V. Srinivasa Chakravarthy , Balaraman Ravindran & more

Frontiers in Computational Neuroscience, vol. 8](https://wsai.iitm.ac.in/publications/an-extended-reinforcement-learning-model-of-basal-ganglia/)

[2014

The organisational structure of protein networks: revisiting the centrality–lethality hypothesis

Karthik Raman , Nandita Damaraju , Govind Krishna Joshi

Systems and Synthetic Biology, vol. 8, no. 1, p. 73-81](https://wsai.iitm.ac.in/publications/systems-and-synthetic-biology/)

[2014

Scalable Positional Analysis for Studying Evolution of Nodes in Networks

Pratik Vinay Gupte , B Ravindran

arXiv preprint arXiv:1402.3797](https://wsai.iitm.ac.in/publications/scalable-positional-analysis-for-studying-evolution/)

[2014

Temporal analysis of telecom call graphs

Saket Gurukar , Balaraman Ravindran

2014 Sixth International Conference on Communication Systems and Networks (COMSNETS), p. 1-6](https://wsai.iitm.ac.in/publications/temporal-analysis-of-telecom-call-graphs/)

[2014

Studying Indian Railways Network using hypergraphs

Sai Nageswar Satchidanand , Siddharth Kumar Jain , Amit Maurya & more

2014 Sixth International Conference on Communication Systems and Networks (COMSNETS), p. 1-6](https://wsai.iitm.ac.in/publications/studying-indian-railways-network-using-hypergraphs/)

[2014

Activity Recognition for Natural Human Robot Interaction

Addwiteey Chrungoo , S. S. Manimaran , Balaraman Ravindran

Lecture Notes in Computer Science, p. 84-94](https://wsai.iitm.ac.in/publications/activity-recognition-for-natural-human-robot-interaction/)

[2014

A Systems Theoretic Approach to Systems and Synthetic Biology II: Analysis and Design of Cellular Systems

Kulkarni, Vishwesh V. and Stan, Guy-Bart and Raman, Karthik

Springer](https://wsai.iitm.ac.in/publications/a-systems-theoretic-approach-to-systems-and-synthetic-biology-ii/)

[2014

A Systems Theoretic Approach to Systems and Synthetic Biology I: Models and System Characterizations

Kulkarni, Vishwesh V. and Raman, Karthik and Stan, Guy-Bart

Springer](https://wsai.iitm.ac.in/publications/a-systems-theoretic-approach-to-systems-and-synthetic-biology-i-models-and-syste/)

2013

[2013

Identification of putative and potential cross-reactive chickpea (Cicer arietinum) allergens through an in silico approach

Anuja Kulkarni , Laxmi Ananthanarayan , Karthik Raman

Computational Biology and Chemistry, vol. 47, p. 149-155](https://wsai.iitm.ac.in/publications/identification-of-putative-and-potential-cross-reactive-chickpea-cicer-arietinum/)

2011

[2011

The evolvability of programmable hardware

Karthik Raman , Andreas Wagner

Journal of The Royal Society Interface, vol. 8, no. 55, p. 269-281](https://wsai.iitm.ac.in/publications/the-evolvability-of-programmable-hardware/)

[2011

Understanding the Dynamics of Biological Systems

Raman, Karthik and Chandra, Nagasuma

Understanding the Dynamics of Biological Systems, p. 83--110](https://wsai.iitm.ac.in/publications/understanding-the-dynamics-of-biological-systems/)

[2011

Evolvability and robustness in a complex signalling circuit

Karthik Raman , Andreas Wagner

Molecular BioSystems, vol. 7, no. 4, p. 1081](https://wsai.iitm.ac.in/publications/evolvability-and-robustness-in-a-complex-signalling-circuit/)

2010

[2010

Systems biology

Karthik Raman , Nagasuma Chandra

Resonance, vol. 15, no. 2, p. 131-153](https://wsai.iitm.ac.in/publications/systems-biology/)

[2010

Construction and analysis of protein–protein interaction networks

Karthik Raman

Automated Experimentation, vol. 2, no. 1, p. 2](https://wsai.iitm.ac.in/publications/construction-and-analysis-of-protein-protein-interaction-networks/)

[2010

A systems perspective of host–pathogen interactions: predicting disease outcome in tuberculosis

Karthik Raman , Ashwini Gurudas Bhat , Nagasuma Chandra

Mol. BioSyst., vol. 6, no. 3, p. 516-530](https://wsai.iitm.ac.in/publications/a-systems-perspective-of-hostpathogen-interactions-predicting-disease-outcome-in/)

2009

[2009

Flux balance analysis of biological systems: applications and challenges

K. Raman , N. Chandra

Briefings in Bioinformatics, vol. 10, no. 4, p. 435-449](https://wsai.iitm.ac.in/publications/brief-bioinform/)

[2009

Strategies for efficient disruption of metabolism in Mycobacterium tuberculosis from network analysis

Karthik Raman , Rohit Vashisht , Nagasuma Chandra

Molecular BioSystems, vol. 5, no. 12, p. 1740](https://wsai.iitm.ac.in/publications/strategies-for-efficient-disruption-of-metabolism-in-mycobacterium-tuberculosis-/)

2008

[2008

targetTB: A target identification pipeline for Mycobacterium tuberculosis through an interactome, reactome and genome-scale structural analysis

Karthik Raman , Kalidas Yeturu , Nagasuma Chandra

BMC Systems Biology, vol. 2, no. 1](https://wsai.iitm.ac.in/publications/targettb/)

[2008

PathwayAnalyser: A Systems Biology Tool for Flux Analysis of Metabolic Pathways

Karthik Raman , Nagasuma Chandra

Nature Precedings](https://wsai.iitm.ac.in/publications/pathwayanalyser/)

[2008

Mycobacterium tuberculosis interactome analysis unravels potential pathways to drug resistance

Karthik Raman , Nagasuma Chandra

BMC Microbiology, vol. 8, no. 1, p. 234](https://wsai.iitm.ac.in/publications/mycobacterium-tuberculosis-interactome-analysis-unravels-potential-pathways-to-d/)

2007

[2007

Hallmarks of mycolic acid biosynthesis: A comparative genomics study

Karthik Raman , Preethi Rajagopalan , Nagasuma Chandra

Proteins: Structure, Function, and Bioinformatics, vol. 69, no. 2, p. 358-368](https://wsai.iitm.ac.in/publications/hallmarks-of-mycolic-acid-biosynthesis-a-comparative-genomics-study/)

[2007

Metabolome Based Reaction Graphs of M. tuberculosis and M. leprae: A Comparative Network Analysis

Ketki D. Verkhedkar , Karthik Raman , Nagasuma R. Chandra & more

PLoS ONE, vol. 2, no. 9, p. e881](https://wsai.iitm.ac.in/publications/metabolome-based-reaction-graphs-of-m-tuberculosis-and-m-leprae-a-comparative-ne/)

2006

[2006

Principles and Practices of Pathway Modelling

Karthik Raman , Preethi Rajagopalan , Nagasuma Chandra

Current Bioinformatics, vol. 1, no. 2, p. 147-160](https://wsai.iitm.ac.in/publications/principles-and-practices-of-pathway-modelling/)

2005

[2005

Flux Balance Analysis of Mycolic Acid Pathway: Targets for Anti-Tubercular Drugs

Karthik Raman , Preethi Rajagopalan , Nagasuma Chandra

PLoS Computational Biology, vol. 1, no. 5, p. e46](https://wsai.iitm.ac.in/publications/flux-balance-analysis-of-mycolic-acid-pathway-targets-for-anti-tubercular/)