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Publications

Compact

Year

Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference
Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference
Mayuresh Kunir , Sanjay Chawla , Siddarth Chandrasekar and more
To appear in the Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023)
MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication
MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication
Tarun Kumar , Ramanathan Sethuraman , Sanga Mitra and more
PLOS Computational Biology
A Survey of Adversarial Defences and Robustness in NLP
A Survey of Adversarial Defences and Robustness in NLP
Shreya Goyal , Sumanth Doddapaneni , Mitesh M. Khapra and more
ACM Computing Surveys
A Strategic Research Framework for Defeating Diabetes in India: A 21st-Century Agenda
A Strategic Research Framework for Defeating Diabetes in India: A 21st-Century Agenda
Narayan, KM Venkat , Jithin Sam Varghese , Yara S. Beyh and more
Journal of the Indian Institute of Science
Physics-Informed Model-Based Reinforcement Learning
Physics-Informed Model-Based Reinforcement Learning
Adithya Ramesh , Balaraman Ravindran
To appear in Learning for Dynamics & Control Conference (L4DC) 2023
Matching Options to Tasks using Option-Indexed Hierarchical Reinforcement Learning
Matching Options to Tasks using Option-Indexed Hierarchical Reinforcement Learning
Chauhan, K , Chatterjee, S , Reddy, A and more
To appear in the proceedings of the Twenty-Second International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2023).
RePReL: A Unified Framework for Integrating Relational Planning and Reinforcement Learning for Effective Abstraction in Discrete and Continuous Domains
RePReL: A Unified Framework for Integrating Relational Planning and Reinforcement Learning for Effective Abstraction in Discrete and Continuous Domains
Harsha Kokel , Sriraam Natarajan , B Ravindran and more
Neural Computing and Applications. Springer
Verification and Rectification of Error in Topology of Conserved Networks
Verification and Rectification of Error in Topology of Conserved Networks
Satya Jayadev P , Arsh Bawa , Nirav Bhatt
IFAC-PapersOnLine
AI and Data Science Centers in Top Indian Academic Institutions
AI and Data Science Centers in Top Indian Academic Institutions
Balaraman Ravindran , Sunita Sarawagi , Aditi Jain
Communications of the ACM
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
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
Nature-Humanities and social sciences communications
Empirical evidence of the impact of mobility on property crimes during the first two waves of the COVID-19 pandemic
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 and more
Nature-Humanities and social sciences communications
Probing patterning in microbial consortia with a cellular automaton for spatial organisation
Probing patterning in microbial consortia with a cellular automaton for spatial organisation
Sankalpa Venkatraghavan , Sathvik Anantakrishnan , Karthik Raman
To appear in the Proceedings of the Thirty-Fifth Annual Conference of the Association for Advancement of Artificial Intelligence (AAAI 2021)
TOMBoost: a topic modeling based boosting approach for learning with class imbalance
TOMBoost: a topic modeling based boosting approach for learning with class imbalance
Sudarsun Santhiappan , Jeshuren Chelladurai , B Ravindran
International Journal of Data Science and Analytics
Comparison of Delay Estimation Techniques for Advanced Traffic Management
Comparison of Delay Estimation Techniques for Advanced Traffic Management
P. B. Renju , Nitin Navali , Lelitha Vanajakshi
Sixth International Conference of Transportation Research Group of India
Data Imputation for Traffic State Estimation and Pre-diction Using Wi-Fi Sensors
Data Imputation for Traffic State Estimation and Pre-diction Using Wi-Fi Sensors
Sarthak Chaturvedi , S. Deepak , Dhivya Bharathi and more
Sixth International Conference of Transportation Research Group of India
Profitable market mechanism for platform-based aggregator taxi services
Profitable market mechanism for platform-based aggregator taxi services
Swaminathan Rammohan , Rahul R. Marathe , Nandan Sudarsanam
Transportation Research Interdisciplinary Perspectives
Joint clustering and prediction approach for travel time prediction
Joint clustering and prediction approach for travel time prediction
Hima Elsa Shaji , Arun K. Tangirala , Lelitha Vanajakshi"
PLoS ONE
Detecting Vehicles on the Edge: Knowledge Distillation to Improve Performance in Heterogeneous Road Traffic
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)
Byzantine Spectral Ranking
Byzantine Spectral Ranking
Arnhav Datar , Arun Rajkumar , John Augustine
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022)
Discovering design principles for biological functionalities Perspectives from systems biology
Discovering design principles for biological functionalities Perspectives from systems biology
Priyan Bhattacharya , Karthik Raman , Arun K Tangirala
To appear in the Proceedings of the Thirty-Fifth Annual Conference of the Association for Advancement of Artificial Intelligence (AAAI 2021)
Crime registration and distress calls during COVID-19: two sides of the coin
Crime registration and distress calls during COVID-19: two sides of the coin
Kandaswamy Paramasivan , Nandan Sudarsanam , Sivapriya Vellaichamy and more
Policing and Society - An International Journal of Research and Policy
Structurally-constrained optical-flow-guided adversarial generation of synthetic CT for MR-only radiotherapy treatment planning
Structurally-constrained optical-flow-guided adversarial generation of synthetic CT for MR-only radiotherapy treatment planning
Rajat Vajpayee , Vismay Agrawal , Ganapathy Krishnamurthi
Scientific Reports
Predicting cross-tissue hormone–gene relations using balanced word embeddings
Predicting cross-tissue hormone–gene relations using balanced word embeddings
Aditya Jadhav , Tarun Kumar , Mohit Raghavendra and more
Bioinformatics
Multi-Variate Time Series Forecasting on Variable Subsets
Multi-Variate Time Series Forecasting on Variable Subsets
Jatin Chauhan , Aravindan Raghuveer Jay , Nandy Rishi Saket and more
ACM SIGKDD 2022
Scaling Graph Propagation Kernels for Predictive Learning
Scaling Graph Propagation Kernels for Predictive Learning
Priyesh Vijayan , Yash Chandak , Mitesh M. Khapra and more
Frontiers in Big Data - Data Mining and Management
Domain-Agnostic Constrastive Representations for Learning from Label Proportions
Domain-Agnostic Constrastive Representations for Learning from Label Proportions
Nandy J , Saket R , Jain P and more
31st ACM International Conference on Information and Knowledge Management (CIKM 2022).
An Active Learning Framework for Efficient Robust Policy Search
An Active Learning Framework for Efficient Robust Policy Search
Sai Kiran Narayanaswami , Nandan Sudarsanam , B Ravindran
5th Joint International Conference on Data Science & Management of Data (CODS-COMAD 2022)
Automated Incident Location Identification for EMS from Ambulance Geospatial Data
Automated Incident Location Identification for EMS from Ambulance Geospatial Data
Sruthikeerthi Nandita R , Goutham Zampani , Gokul S Krishnan and more
5th Joint International Conference on Data Science & Management of Data (CODS-COMAD 2022)
Smooth Imitation Learning via Smooth Costs and Smooth Policies
Smooth Imitation Learning via Smooth Costs and Smooth Policies
Sapana Chauhary , B Ravindran
5th Joint International Conference on Data Science & Management of Data (CODS-COMAD 2022)
iCOMIC a graphical interface driven bioinformatics pipeline for analyzing cancer omics data
iCOMIC a graphical interface driven bioinformatics pipeline for analyzing cancer omics data
Anjana Anilkumar Sithara , Devi Priyanka Maripuri , Keerthika Moorthy and more
NAR Genomics and Bioinformatics
Evolutionary Approach to Security Games with Signaling
Evolutionary Approach to Security Games with Signaling
Adam Zychowski , Jacek Mandziuk , Elizabeth Bondi and more
2022 International Joint Conference on Artificial Intelligence
Metabolic modeling of the International Space Station microbiome reveals key microbial interactions
Metabolic modeling of the International Space Station microbiome reveals key microbial interactions
Rachita K. Kumar , Nitin Kumar Singh , Sanjaay Balakrishnan and more
Microbiome
Data Driven LQR Design for LTI systems with Exogenous Inputs
Data Driven LQR Design for LTI systems with Exogenous Inputs
Vijayanand Digge , Ramkrishna Pasumarthy
2022 30th Mediterranean Conference on Control and Automation (MED)
Benchmarking and Analysing Unsupervised Network Representation Learning and the Illusion of Progress
Benchmarking and Analysing Unsupervised Network Representation Learning and the Illusion of Progress
Saket Gurukar , Priyesh Vijayan , srinivasan parthasarathy and more
Transactions on Machine Learning Research.
Data driven Event triggered Control for Discrete-time LTI Systems
Data driven Event triggered Control for Discrete-time LTI Systems
Vijayanand Digge , Ramkrishna Pasumarthy
2022 European Control Conference (ECC)
Fixed-Time Dynamical System Approach for Solving Time-Varying Convex Optimization Problems
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)
Quantifying the maximum possible improvement in 2k experiments
Quantifying the maximum possible improvement in 2k experiments
Nandan Sudarsanam , Anusha Kumar , Daniel D. Frey
Research in Engineering Design
Understanding the mutational frequency in SARS-CoV-2 proteome using structural features
Understanding the mutational frequency in SARS-CoV-2 proteome using structural features
Puneet Rawat , Divya Sharma , Medha Pandey and more
Computers in Biology and Medicine
Ab-CoV a curated database for binding affinity and neutralization profiles of coronavirus related antibodies
Ab-CoV a curated database for binding affinity and neutralization profiles of coronavirus related antibodies
Puneet Rawat , Divya Sharma , R Prabakaran and more
Bioinformatics
An Aggregated Dynamic Model of an Electronically Actuated ICE Powertrain
An Aggregated Dynamic Model of an Electronically Actuated ICE Powertrain
Subhadeep Kumar , Ramkrishna Pasumarthy , Nirav P. Bhatt"
IEEE Access
Relationship between mobility and road traffic injuries during COVID-19 pandemic—The role of attendant factors
Relationship between mobility and road traffic injuries during COVID-19 pandemic—The role of attendant factors
Kandaswamy Paramasivan , Rahul Subburaj , Venkatesh Mohan Sharma and more
PLOS ONE
A Theory of Tournament Representations
A Theory of Tournament Representations
Arun Rajkumar , Vishnu Veerathu , Abdul Bakey Mir
International Conference on Learning Representations (ICLR) 2022
Causal Contextual Bandits with Targeted Interventions
Causal Contextual Bandits with Targeted Interventions
Chandrasekar Subramanian , Balaraman Ravindran
The Tenth International Conference on Learning Representations - ICLR 2022
Effect of dormant spare capacity on the attack tolerance of complex networks
Effect of dormant spare capacity on the attack tolerance of complex networks
Sai Saranga Das M , Karthik Raman
Physica A: Statistical Mechanics and its Applications
Integration of machine learning and first principles models
Integration of machine learning and first principles models
Lokesh Rajulapati , Sivadurgaprasad Chinta , Bala Shyamala and more
AIChE Journal
Multi-omic data helps improve prediction of personalised tumor suppressors and oncogenes
Multi-omic data helps improve prediction of personalised tumor suppressors and oncogenes
Malvika Sudhakar , Raghunathan Rengaswamy , Karthik Raman
Frontiers in Genetics
On Combining Bags to Better Learn from Label Proportions
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
Inductive Bias of Gradient Descent for Weight Normalized Smooth Homogeneous Neural Nets
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
Designing Biological Circuits: From Principles to Applications
Designing Biological Circuits: From Principles to Applications
Debomita Chakraborty , Raghunathan Rengaswamy , Karthik Raman
ACS Synthetic Biology
Elucidating important structural features for the binding affinity of spike - SARS-CoV-2 neutralizing antibody complexes
Elucidating important structural features for the binding affinity of spike - SARS-CoV-2 neutralizing antibody complexes
Divya Sharma , Puneet Rawat , Vani Janakiraman and more
PROTEINS : Structure, Function, and Bioinformatics
Towards Building ASR Systems for the Next Billion Users
Towards Building ASR Systems for the Next Billion Users
Tahir Javed , Sumanth Doddapaneni , Abhigyan Raman and more
To appear in the Proceedings of the Thirty-Sixth Annual Conference of the Association for Advancement of Artificial Intelligence (AAAI 2022)
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages
Gowtham Ramesh , Sumanth Doddapaneni , Aravinth Bheemaraj and more
Transactions of the Association for Computational Linguistics
Developmental Maturation of Causal Signaling Hubs in Voluntary Control of Saccades and Their Functional Controllability
Developmental Maturation of Causal Signaling Hubs in Voluntary Control of Saccades and Their Functional Controllability
Yuan Zhang , Srikanth Ryali , Weidong Cai and more
Cerebral Cortex
Discovering adaptation-capable biological network structures using control-theoretic approaches
Discovering adaptation-capable biological network structures using control-theoretic approaches
Priyan Bhattacharya , Karthik Raman , Arun K. Tangirala
PLOS Computational Biology
CDiNN – Convex difference neural networks
CDiNN – Convex difference neural networks
Parameswaran Sankaranarayanan , Raghunathan Rengaswamy
Neurocomputing
Single Shot Corrective CNN for Anatomically Correct 3D Hand Pose Estimation
Single Shot Corrective CNN for Anatomically Correct 3D Hand Pose Estimation
Joseph H. Isaac , Manivannan Muniyandi , Balaraman Ravindran
Frontiers in Artificial Intelligence - Machine Learning and Artificial Intelligence
A Computational Framework to Identify Metabolic Engineering Strategies for the Co-Production of Metabolites
A Computational Framework to Identify Metabolic Engineering Strategies for the Co-Production of Metabolites
Lavanya Raajaraam , Karthik Raman
Frontiers in Bioengineering and Biotechnology- Synthetic Biology
Novel ratio-metric features enable the identification of new driver genes across cancer types
Novel ratio-metric features enable the identification of new driver genes across cancer types
Malvika Sudhakar , Raghunathan Rengaswamy , Karthik Raman
Scientific Reports
Scalable multi-product inventory control with lead time constraints using reinforcement learning
Scalable multi-product inventory control with lead time constraints using reinforcement learning
Hardik Meisheri, Nazneen N. Sultana , Mayank Baranwal , Vinita Baniwal and more
Neural Computing and Applications
On Strong Structural Controllability of Temporal Networks
On Strong Structural Controllability of Temporal Networks
Manikya Valli Srighakollapu , Rachel Kalpana Kalaimani , Ramkrishna Pasumarthy
IEEE Control Systems Letters
On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons
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)
PARWiS: Winner determination from Active Pairwise Comparisons under a Shoestring Budget
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)
Impact of COVID-19 pandemic on road safety in Tamil Nadu, India
Impact of COVID-19 pandemic on road safety in Tamil Nadu, India
Kandaswamy Paramasivan , Nandan Sudarsanam
International Journal of Injury Control and Safety Promotion
Predicting unknown directed links of conserved networks from flow data
Predicting unknown directed links of conserved networks from flow data
Satya Jayadev Pappu , Ramkrishna Pasumarthy , Nirav Bhatt
Journal of Complex Networks
A Causal Approach for Unfair Edge Prioritization and Discrimination Removal
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)
Metric Learning for comparison of HMMs using Graph Neural Networks
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)
Event-Triggered Control Design for Systems With Exogenous Inputs: Application for Auto-Scaling of Cloud-Hosted Web Servers
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
Two-species community design of lactic acid bacteria for optimal production of lactate
Two-species community design of lactic acid bacteria for optimal production of lactate
Maziya Ibrahim , Karthik Raman
Computational and Structural Biotechnology Journal
Perturbation CheckLists for Evaluating NLG Evaluation Metrics
Perturbation CheckLists for Evaluating NLG Evaluation Metrics
Ananya B. Sai , Tanay Dixit , Dev Yashpal Sheth and more
In Proceedings of Empirical Methods in Natural Language Processing (EMNLP 2021)
A Multivariate Analysis Framework for Vehicle Detection From Loop Data Under Heterogeneous and Less Lane Disciplined Traffic
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
SeLFVi: Self-Supervised Light-Field Video Reconstruction From Stereo Video
SeLFVi: Self-Supervised Light-Field Video Reconstruction From Stereo Video
Prasan Shedligeri , Florian Schiffers , Sushobhan Ghosh and more
International Conference on Computer Vision (ICCV 2021 )
Unsupervised Deep Video Denoising
Unsupervised Deep Video Denoising
Dev Yashpal Sheth , Sreyas Mohan , Joshua Vincent and more
International Conference on Computer Vision (ICCV 2021)
A Joint Training Framework for Open-World Knowledge Graph Embeddings
A Joint Training Framework for Open-World Knowledge Graph Embeddings
Karthik Venkat Ramanan , Beethika Tripathi , Mitesh M. Khapra and more
To appear in the proceedings of the Automated Knowledge Base Construction Conference (AKBC 2021)
Semi-Supervised Deep Learning for Multiplex Networks
Semi-Supervised Deep Learning for Multiplex Networks
Anasua Mitra , Priyesh Vijayan" , Ranbir Sanasam" and more
To appear in the proceedings of the Twenty Seventh ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Optimizing Driver Nodes for Structural Controllability of Temporal Networks
Optimizing Driver Nodes for Structural Controllability of Temporal Networks
Manikya Valli Srighakollapu , Rachel Kalpana Kalaimani , Ramkrishna Pasumarthy
IEEE Transactions on Control of Network Systems
NetGenes: A database of essential genes predicted using features from interaction networks
NetGenes: A database of essential genes predicted using features from interaction networks
V Senthamizhan , Balaraman Ravindran , Karthik Raman
Frontiers in Genetics
A priori parameter identifiability in models with non-rational functions
A priori parameter identifiability in models with non-rational functions
Rishabh Jain , Sridharakumar Narasimhan , Nirav P. Bhatt
Automatica
Corrective Filter Based on Kinematics of Human Hand for Pose Estimation
Corrective Filter Based on Kinematics of Human Hand for Pose Estimation
Joseph H. R. Isaac , M. Manivannan , Balaraman Ravindran
Frontiers in Virtual Reality
Modelling microbial communities Harnessing consortia for biotechnological applications
Modelling microbial communities Harnessing consortia for biotechnological applications
Maziya Ibrahim , Lavanya Raajaraam , Karthik Raman
Computational and Structural Biotechnology Journal
Dynamic causal brain circuits during working memory and their functional controllability
Dynamic causal brain circuits during working memory and their functional controllability
Weidong Cai , Srikanth Ryali , Ramkrishna Pasumarthy and more
Nature Communications
Simultaneous beamforming and trajectory tracking in a multi-agent formation
Simultaneous beamforming and trajectory tracking in a multi-agent formation
Bharat Manvi , Bharath Bhikkaji , Arun D. Mahindrakar
Mediterranean Conference on Control and Automation (MED)
The art of molecular computing: Whence and whither
The art of molecular computing: Whence and whither
Sahana Gangadharan , Karthik Raman
BioEssays
RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction
RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction
Harsha Kokel , Arjun Manoharan , Sriraam Natarajan and more
Proceedings of the International Conference on Automated Planning and Scheduling (Vol. 31, pp. 533-541)
Scalable Multi-Product Inventory Control with Lead Time Constraints using Reinforcement Learning
Scalable Multi-Product Inventory Control with Lead Time Constraints using Reinforcement Learning
Hardik Meisheri , Nazneen N. Sultana , Mayank Baranwal and more
Neural Computing and Applications
MinReact: a systematic approach for identifying minimal metabolic networks
MinReact: a systematic approach for identifying minimal metabolic networks
Gayathri Sambamoorthy , Karthik Raman
Bioinformatics
Exploring antibody repurposing for COVID-19: beyond presumed roles of therapeutic antibodies
Exploring antibody repurposing for COVID-19: beyond presumed roles of therapeutic antibodies
Puneet Rawat , Divya Sharma , Ambuj Srivastava and more
Scientific Reports
GrabQC: Graph based Query Contextualization for automated ICD coding
GrabQC: Graph based Query Contextualization for automated ICD coding
Jeshuren Chelladurai , Sudarsun Santhiappan , Balaraman Ravindran
Advances in Knowledge Discovery and Data Mining. PAKDD 2021. Lecture Notes in Computer Science, vol 12712. Springer
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty
Aravind Venugopal , Elizabeth Bondi , Harshavardhan Kamarthi and more
In Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (pp. 1353–1361)
SEERL: Sample Efficient Ensemble Reinforcement Learning
SEERL: Sample Efficient Ensemble Reinforcement Learning
Rohan Saphal , B Ravindran , Dheevatsa Mudigere and more
Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (pp. 1100–1108)
Sequential Ski Rental Problem
Sequential Ski Rental Problem
Anant Shah , Arun Rajkumar
In Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (pp. 1173–1181)
Comparison of first trimester dating methods for gestational age estimation and their implication on preterm birth classification in a North Indian cohort
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 and more
BMC Pregnancy Childbirth
Sequence Neighborhoods Enable Reliable Prediction of Pathogenic Mutations in Cancer Genomes
Sequence Neighborhoods Enable Reliable Prediction of Pathogenic Mutations in Cancer Genomes
Shayantan Banerjee , Karthik Raman , Balaraman Ravindran
Cancers, Section: Cancer Informatics and Big Data. MDPI Press.
CASTLE: A database of synthetic lethal sets predicted from genome-scale metabolic networks
CASTLE: A database of synthetic lethal sets predicted from genome-scale metabolic networks
Vimaladhasan Senthamizhan , Sunanda Subramaniam , Arjun Raghavan and more
bioRxiv
Demystifying brain tumor segmentation networks: interpretability and uncertainty analysis
Demystifying brain tumor segmentation networks: interpretability and uncertainty analysis
Parth Natekar , Avinash Kori , Ganapathy Krishnamurthi
Frontiers in computational neuroscience
A Systematic Evaluation of Object Detection Networks for Scientific Plots
A Systematic Evaluation of Object Detection Networks for Scientific Plots
Pritha Ganguly , Nitesh Methani , Mitesh M. Khapra and more
To appear in the Proceedings of the Thirty-Fifth Annual Conference of the Association for Advancement of Artificial Intelligence (AAAI 2021)
An Enhanced Advising Model in Teacher-Student framework using State Categorization
An Enhanced Advising Model in Teacher-Student framework using State Categorization
Daksh Anand , Vaibhav Gupta , Praveen Paruchuri and more
Proceedings of the AAAI Conference on Artificial Intelligence, 35(8), 6653-6660
MADRaS : Multi Agent Driving Simulator
MADRaS : Multi Agent Driving Simulator
Anirban Santara , Sohan Rudra , Sree Aditya Buridi and more
To appear in the Journal of AI Research (JAIR)
Relational Boosted Bandits
Relational Boosted Bandits
Ashutosh Kakadiya , Sriraam Natarajan , B Ravindran
Proceedings of the AAAI Conference on Artificial Intelligence, 35(13), 12123-12130
Revisiting Link Prediction on Heterogeneous Graphs with A Multi-view Perspective
Revisiting Link Prediction on Heterogeneous Graphs with A Multi-view Perspective
Anasua Mitra , Priyesh Vijayan , Ranbir Sanasam and more
IEEE International Conference on Data Mining (ICDM 2022)
The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT
The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT
Madhura Pande , Aakriti Budhraja , Preksha Nema and more
In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 15, pp. 13613-13621)
Hyperedge Prediction using Tensor Eigenvalue Decomposition
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
Distributed learning machines for solving forward and inverse problems in partial differential equations.
Distributed learning machines for solving forward and inverse problems in partial differential equations.
Vikas Dwivedi , Nishant Parashar , Balaji Srinivasan
Neurocomputing
State Estimation for Non–linear Fully-implicit, Index-1 Differential Algebraic Equation Systems
State Estimation for Non–linear Fully-implicit, Index-1 Differential Algebraic Equation Systems
Neeraja Srinivasan , Nirav Bhatt , Sridharakumar Narasimhan
American Control Conference
Traffic State Estimation using DSRC-enabled Probe Vehicles
Traffic State Estimation using DSRC-enabled Probe Vehicles
Sarthak Chaturvedi , Abirami Krishna Ashok , Bhargava Rama Chilukuri
International Conference on COMmunication Systems & NETworkS (COMSNETS) (pp. 715-722)
A semi-supervised approach to growing classification trees
A semi-supervised approach to growing classification trees
Sudarsun Santhiappan , Balaraman Ravindran
In 8th ACM IKDD CODS and 26th COMAD.
Aided Selection of Sampling Methods for Imbalanced Data Classification
Aided Selection of Sampling Methods for Imbalanced Data Classification
Deep Sahni , Satya Jayadev Pappu , Nirav Bhatt
In 8th ACM IKDD CODS and 26th COMAD.
Inferring customer occupancy status in for-hire vehicles using PU Learning
Inferring customer occupancy status in for-hire vehicles using PU Learning
Vaishnavi Muralidharan , Nandan Sudarsanam , Balaraman Ravindran
In 8th ACM IKDD CODS and 26th COMAD.
Is it hard to learn a classifier on this dataset?
Is it hard to learn a classifier on this dataset?
Sudarsun Santhiappan , Nitin Shravan , Balaraman Ravindran
In 8th ACM IKDD CODS and 26th COMAD.
A Systematic Evaluation of Object Detection Networks for Scientific Plots
A Systematic Evaluation of Object Detection Networks for Scientific Plots
Pritha Ganguly , Nitesh Methani , Mitesh M. Khapra and more
Proceedings of the AAAI Conference on Artificial Intelligence, 35(2), 1379-1387
Consistent plug-in classifiers for complex objectives and constraints
Consistent plug-in classifiers for complex objectives and constraints
Shiv Kumar Tavker , Harish Guruprasad , Harikrishna Narasimhan
Advances in Neural Information Processing Systems, 33
Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining
Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining
Ananya B. Sai , Akash Kumar Mohankumar , Siddhartha Arora and Mitesh M. Khapra
Transactions of the Association for Computational Linguistics
IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages
IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages
Divyanshu Kakwani , Anoop Kunchukuttan , Satish Golla and more
In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings.
On the weak link between importance and prunability of attention heads
On the weak link between importance and prunability of attention heads
Aakriti Budhraja , Madhura Pande , Preksha Nema and more
In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics.
Towards Interpreting BERT for Reading Comprehension Based QA
Towards Interpreting BERT for Reading Comprehension Based QA
Sahana Ramnath , Preksha Nema , Deep Sahni and more
In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics.
Systems-Theoretic Approaches to Design Biological Networks with Desired Functionalities
Systems-Theoretic Approaches to Design Biological Networks with Desired Functionalities
Priyan Bhattacharya , Karthik Raman , Arun K. Tangirala
Computational Methods in Synthetic Biology
Inductive Bias of Gradient Descent for Exponentially Weight Normalized Smooth Homogeneous Neural Nets
Inductive Bias of Gradient Descent for Exponentially Weight Normalized Smooth Homogeneous Neural Nets
Depen Morwani , Harish G. Ramaswamy
arXiv:2010.12909
A Survey of Evaluation Metrics Used for NLG Systems
A Survey of Evaluation Metrics Used for NLG Systems
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ACM Computing Surveys
Hypergraph Clustering by Iteratively Reweighted Modularity Maximization
Hypergraph Clustering by Iteratively Reweighted Modularity Maximization
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Applied Network Science
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning
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SBML Level 3: an extensible format for the exchange and reuse of biological models
SBML Level 3: an extensible format for the exchange and reuse of biological models
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Molecular Systems Biology
Injury severity prediction model for two-wheeler crashes at mid-block road sections.
Injury severity prediction model for two-wheeler crashes at mid-block road sections.
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Understanding Dynamic Scenes using Graph Convolution Networks
Understanding Dynamic Scenes using Graph Convolution Networks
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International Conference on Intelligent Robots and Systems
On the Importance of Local Information in Transformer Based Models
On the Importance of Local Information in Transformer Based Models
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A new index for information gain in the Bayesian framework
A new index for information gain in the Bayesian framework
Prem Jagadeesan , Karthik Raman , Arun K.Tangirala
IFAC
Electric vehicle routing problem with non-linear charging and load-dependent discharging
Electric vehicle routing problem with non-linear charging and load-dependent discharging
Surendra Reddy Kancharla , Gitakrishnan Ramadurai
Expert Systems with Applications
A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs
A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs
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Incorporating prior knowledge about structural constraints in model identification
Incorporating prior knowledge about structural constraints in model identification
Deepak Maurya , Sivadurgaprasad Chinta , Abhishek Sivaram and more
arXiv:2007.04030
Metagenome-wide association analysis identifies microbial determinants of post-antibiotic ecological recovery in the gut
Metagenome-wide association analysis identifies microbial determinants of post-antibiotic ecological recovery in the gut
Kern Rei Chng , Tarini Shankar Ghosh , Yi Han Tan and more
Nature Ecology & Evolution
Non-Smooth Projected Primal-Dual Dynamical Approach to Solve the Extended Fermat-Torricelli Problem
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
HPRA: Hyperedge Prediction using Resource Allocation
HPRA: Hyperedge Prediction using Resource Allocation
Tarun Kumar , K Darwin , Srinivasan Parthasarathy and more
In 12th ACM Conference on Web Science
Machine Learning Applications for Mass Spectrometry-Based Metabolomics
Machine Learning Applications for Mass Spectrometry-Based Metabolomics
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Dyvedeep: Dynamic variable effort deep neural networks
Dyvedeep: Dynamic variable effort deep neural networks
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ACM Transactions on Embedded Computing Systems
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains
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On Incorporating Structural Information to improve Dialogue Response Generation
On Incorporating Structural Information to improve Dialogue Response Generation
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Mycobacterium tuberculosis (Mtb) lipid–mediated lysosomal rewiring in infected macrophages modulates intracellular Mtb trafficking and survival.
Mycobacterium tuberculosis (Mtb) lipid–mediated lysosomal rewiring in infected macrophages modulates intracellular Mtb trafficking and survival.
Kuldeep Sachdeva , Manisha Goel , Malvika Sudhakar and more
Journal of Biological Chemistry
Topological properties of bus transit networks considering demand and service utilization weight measures
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
Conducting non-adaptive experiments in a live setting: a Bayesian approach to determining optimal sample size
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
Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization
Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization
Harish G. Ramaswamy , Saurabh Desai
The IEEE Winter Conference on Applications of Computer Vision
PlotQA: Reasoning over Scientific Plots
PlotQA: Reasoning over Scientific Plots
Nitesh Methani , Pritha Ganguly , Mitesh M Khapra and more
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Towards Transparent and Explainable Attention Models
Towards Transparent and Explainable Attention Models
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Thermodynamically consistent estimation of Gibbs free energy from data: data reconciliation approach
Thermodynamically consistent estimation of Gibbs free energy from data: data reconciliation approach
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Bioinformatics
Comparison of first trimester dating methods for gestational age estimation and their implication on preterm birth classification in a North Indian cohort
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 and more
medRxiv
MINREACT: an efficient algorithm for identifying minimal metabolic networks
MINREACT: an efficient algorithm for identifying minimal metabolic networks
Gayathri Sambamoorthy , Karthik Raman
bioRxiv
Novel ratio-metric features enable the identification of new driver genes across cancer types
Novel ratio-metric features enable the identification of new driver genes across cancer types
Malvika Sudhakar , Raghunathan Rengaswamy , Karthik Raman
Scientific Reports
Investigating metabolic interactions in a microbial co-culture through integrated modelling and experiments
Investigating metabolic interactions in a microbial co-culture through integrated modelling and experiments
Aarthi Ravikrishnan , Lars M. Blank , Smita Srivastava and more
Computational and structural biotechnology journal
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks
Sanchari Sen , B Ravindran , Anand Raghunathan
International Conference on Learning Representations
Interpretability With Accurate Small Models
Interpretability With Accurate Small Models
Abhishek Ghose , B Ravindran
Frontiers in Artificial Intelligence
Predicting software defect type using concept-based classification
Predicting software defect type using concept-based classification
Sangameshwar Patil , B Ravindran
Empirical Software Engineering
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks
Sravan Mylavarapu , Mahtab Sandhu , Priyesh Vijayan and more
In 2020 IEEE Intelligent Vehicles Symposium
Optimal Filtering and Residual Analysis in Errors-in-Variables Model Identification
Optimal Filtering and Residual Analysis in Errors-in-Variables Model Identification
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Industrial & Engineering Chemistry Research
Learning Conserved Networks From Flows
Learning Conserved Networks From Flows
Satya Jayadev P. , Shankar Narasimhan , Nirav Bhatt
arXiv preprint arXiv:1905.08716
On Knowledge Distillation From Complex Networks
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
Efficient Video Classification Using Fewer Frames
Efficient Video Classification Using Fewer Frames
Shweta Bhardwaj , Mukundhan Srinivasan , Mitesh M. Khapra
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Deciphering the metabolic capabilities of Bifidobacteria using genome-scale metabolic models
Deciphering the metabolic capabilities of Bifidobacteria using genome-scale metabolic models
NT Devika , Karthik Raman
Scientific Reports
Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems
Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems
Suman Banerjee , Mitesh M Khapra
Transactions of the Association for Computational Linguistics
Let's Ask Again: Refine Network for Automatic Question Generation
Let's Ask Again: Refine Network for Automatic Question Generation
Preksha Nema , Akash Kumar Mohankumar , Mitesh M. Khapra and more
In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing
Assessment of network module identification across complex diseases
Assessment of network module identification across complex diseases
Sarvenaz Choobdar , Mehmet E Ahsen , Jake Crawford and more
Nature methods
Temporal Analysis of a Bus Transit Network
Temporal Analysis of a Bus Transit Network
Manju Manohar Manjalavil , Gitakrishnan Ramadurai , B Ravindran
International Conference on Complex Networks and Their Applications
Development and Evaluation of a low-cost WiFi Media Access Control Scanner as Traffic Sensor
Development and Evaluation of a low-cost WiFi Media Access Control Scanner as Traffic Sensor
Satya Sundar Patra , Bharathiraja Muthurajan , Bhargava Rama Chilukuri and more
2019 11th International Conference on Communication Systems and Networks (COMSNETS)
Extraction of Pure Species Spectra from Labeled Mixture Spectral Data
Extraction of Pure Species Spectra from Labeled Mixture Spectral Data
Abhishek Baikadi , Nirav Bhatt , Shankar Narasimhan
Industrial & Engineering Chemistry Research
Analysis of Experimental Conditions, Measurement Strategies, and Model Identification Approaches on Parameter Estimation in Plug Flow Reactors
Analysis of Experimental Conditions, Measurement Strategies, and Model Identification Approaches on Parameter Estimation in Plug Flow Reactors
Tirthankar Sengupta , Sridharakumar Narasimhan , Nirav Bhatt and more
Industrial & engineering chemistry process design and development
Uncovering Novel Pathways for Enhancing Hyaluronan Synthesis in Recombinant Lactococcus lactis: Genome-Scale Metabolic Modeling and Experimental Validation
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
Rational metabolic engineering for enhanced alpha-tocopherol production in Helianthus annuus cell culture
Rational metabolic engineering for enhanced alpha-tocopherol production in Helianthus annuus cell culture
Aparajitha Srinivasan , S Vijayakumar , Karthik Raman and more
Biochemical Engineering Journal
Adapting Community Detection Algorithms for Disease Module Identification in Heterogeneous Biological Networks
Adapting Community Detection Algorithms for Disease Module Identification in Heterogeneous Biological Networks
Beethika Tripathi , Srinivasan Parthasarathy , Himanshu Sinha and more
Frontiers in genetics
Extra: Transfer-guided exploration
Extra: Transfer-guided exploration
Anirban Santara , Rishabh Madan , B Ravindran and more
In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems
Evolutionary Design Principles in Metabolism
Evolutionary Design Principles in Metabolism
Gayathri Sambamoorthy , Himanshu Sinha , Karthik Raman
Proceedings of the Royal Society B: Biological Sciences
Rate of Change Analysis for Interestingness Measures
Rate of Change Analysis for Interestingness Measures
Nandan Sudarsanam , Nishanth Kumar , B Ravindran
Knowledge and Information Systems (KAIS) Journal, Springer
Effect of Interlayer Coupling on Multilayer Network Centrality Measures
Effect of Interlayer Coupling on Multilayer Network Centrality Measures
Tarun Kumar , Manikandan Narayanan , B Ravindran
Journal of the Indian Institute of Science
Optimal Replicates for Designed Experiments under the on-line Framework
Optimal Replicates for Designed Experiments under the on-line Framework
Nandan Sudarsanam , Balaji Pitchai kannu , Daniel D.Frey
Research in Engineering Design
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
Deepak Mittal , Shweta Bhardwaj , Mitesh M Khapra and more
Journal of Machine Vision and Applications, Springer.
Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing
Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing
Athindran Ramesh Kumar , B Ravindran , Anand Raghunathan
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD 2019)
Re-evaluating ADEM: A Deeper Look at Scoring Dialogue Responses
Re-evaluating ADEM: A Deeper Look at Scoring Dialogue Responses
Mithun Das Gupta , Ananya B. Sai , Mitesh M. Khapra and more
In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, Hawaii, USA
Time Series Analysis of Surface EMG Signal - Linear, Non Linear and Chaotic Approaches
Time Series Analysis of Surface EMG Signal - Linear, Non Linear and Chaotic Approaches
Moirangthem Sailash Singh , Ramkrishna Pasumarthy , Viswanath Talasila
Fifth Indian Control Conference
A Game Theoretic Formulation of Path Selection in Urban Transportation Networks
A Game Theoretic Formulation of Path Selection in Urban Transportation Networks
Subhadeep Kumar , Ramkrishna Pasumarthy , Nirav Bhatt
Fifth Indian Control Conference
Let's Ask Again: Refine Network for Automatic Question Generation
Let's Ask Again: Refine Network for Automatic Question Generation
Preksha Nema , Akash Kumar Mohankumar , Mitesh M. Khapra and more
In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization
Preksha Nema , Shreyas Shetty M , Parag Jain and more
In Proceedings of the North American Chapter of the Association for Computational Linguistics
Learning to Multi-Task by Active Sampling
Learning to Multi-Task by Active Sampling
Sahil Sharma , Ashutosh Kumar Jha , Parikshit S Hegde and more
International Conference on Learning Representations
Mining bus stops from raw GPS data of bus trajectories
Mining bus stops from raw GPS data of bus trajectories
Nandani Garg , Gitakrishnan Ramadurai , Sayan Ranu
Communication Systems and Networks
Computational Prediction of Synthetic Lethals in Genome-Scale Metabolic Models Using Fast-SL
Computational Prediction of Synthetic Lethals in Genome-Scale Metabolic Models Using Fast-SL
Karthik Raman , Aditya Pratapa , Omkar Mohite and more
Metabolic Network Reconstruction and Modeling
RAIL: Risk-Averse Imitation Learning
RAIL: Risk-Averse Imitation Learning
Anirban Santara , Abhishek Naik , B Ravindran and more
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems
Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data
Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data
Deepak Mittal , Avinash Reddy , Gitakrishnan Ramadurai and more
Communication Systems & Networks
Using Linear Stochastic Bandits to extend traditional offline Designed Experiments to online settings
Using Linear Stochastic Bandits to extend traditional offline Designed Experiments to online settings
Nandan Sudarsanam , B Ravindran
Computers & Industrial Engineering
Efficient-UCBV: An Almost Optimal Algorithm using Variance Estimates
Efficient-UCBV: An Almost Optimal Algorithm using Variance Estimates
Subhojyoti Mukherjee , KP Naveen , Nandan Sudarsanam and more
Proceedings of the AAAI Conference on Artificial Intelligence
A novel topic modeling based weighting framework for class imbalance learning
A novel topic modeling based weighting framework for class imbalance learning
Sudarsun Santhiappan , Jeshuren Chelladurai , B Ravindran
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data
A neural attention based approach for clickstream mining
A neural attention based approach for clickstream mining
T. N Chandramohan , B Ravindran
Proceedings of the ACM IKDD Joint International Conference on Data Science & Management of Data
Tracking and stabilization of mechanical systems using reinforcement learning
Tracking and stabilization of mechanical systems using reinforcement learning
S Bhuvaneswari , Ramkrishna Pasumarthy , B Ravindran and more
Indian Control Conference
A Partial Parameter HMM Based Clustering on Loan Repayment Data: Insights into Financial Behavior and Intent to Repay
A Partial Parameter HMM Based Clustering on Loan Repayment Data: Insights into Financial Behavior and Intent to Repay
Dibu Philip , Nandan Sudarsanam , B Ravindran
Proceedings of the 51st Hawaii International Conference on System Sciences
Optimal power distribution control for a network of fuel cell stacks
Optimal power distribution control for a network of fuel cell stacks
Resmi Suresh , Ganesh Sankaran , Sreeram Joopudi and more
Journal of Process Control
Actuator network design to mitigate contamination effects in Water Distribution Networks
Actuator network design to mitigate contamination effects in Water Distribution Networks
Venkata Reddy Palleti , Varghese Kurian , Shankar Narasimhan and more
Computers & Chemical Engineering
Understanding the evolution of functional redundancy in metabolic networks
Understanding the evolution of functional redundancy in metabolic networks
Gayathri Sambamoorthy , Karthik Raman
Bioinformatics
Enumerating all possible biosynthetic pathways in metabolic networks
Enumerating all possible biosynthetic pathways in metabolic networks
Aarthi Ravikrishnan , Meghana Nasre , Karthik Raman
Scientific reports
Systems-Level Modelling of Microbial Communities: Theory and Practice
Systems-Level Modelling of Microbial Communities: Theory and Practice
Aarthi Ravikrishnan , Karthik Raman
Book
A systems-theoretic approach towards designing biological networks for perfect adaptation
A systems-theoretic approach towards designing biological networks for perfect adaptation
A P Tangirala Bhattacharya , Karthik Raman
IFAC papers
Prediction error-based clustering approach for multiple-model learning using statistical testing
Prediction error-based clustering approach for multiple-model learning using statistical testing
Sivaram Chinta Abhishek Sivadurgaprasad , Raghunathan Rengaswamy
IFAC paper
Modeling and control of battery systems. Part II: A model predictive controller for optimal charging
Modeling and control of battery systems. Part II: A model predictive controller for optimal charging
Resmi Suresh , Raghunathan Rengaswamyy
Computers & Chemical Engineering
Modeling and control of battery systems. Part I: Revisiting Butler–Volmer equations to model non-linear coupling of various capacity fade mechanisms
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
A novel approach for benchmarking and assessing the performance of state estimators
A novel approach for benchmarking and assessing the performance of state estimators
Laya Das , Gaurav Kumar , Raghunathan Rengaswamy and more
ISA transactions
Metabolite systems profiling identifies exploitable weaknesses in retinoblastoma
Metabolite systems profiling identifies exploitable weaknesses in retinoblastoma
Kumar R Sahoo S , Nicolay B Ranjith , Elchuri SV Miles and more
aheadofprint
Identifying Topology of Low Voltage Distribution Networks Based on Smart Meter Data
Identifying Topology of Low Voltage Distribution Networks Based on Smart Meter Data
Satya Jayadev Pappu , Nirav Bhatt , Ramkrishna Pasumarthy and more
IEEE Transactions on Smart Grid
On the primal-dual dynamics of Support Vector Machines
On the primal-dual dynamics of Support Vector Machines
Krishna Chaitanya Kosaraju , Shravan Mohan , Ramkrishna Pasumarthy
arXiv preprint arXiv:1805.00699
On Controllable Sparse Alternatives to Softmax
On Controllable Sparse Alternatives to Softmax
Anirban Laha , Saneem Ahmed Chemmengath , Priyanka Agrawal and more
Advances in Neural Information Processing Systems
Consistent algorithms for multiclass classification with a reject option
Consistent algorithms for multiclass classification with a reject option
Harish G Ramaswamy , Ambuj Tewari , Shivani Agarwal
arXiv preprint arXiv:1505.04137
Network-based features enable prediction of essential genes across diverse organisms
Network-based features enable prediction of essential genes across diverse organisms
Karthik Azhagesan , B Ravindran , Karthik Raman
PloS one
Learning to Prevent Monocular SLAM Failure using Reinforcement Learning
Learning to Prevent Monocular SLAM Failure using Reinforcement Learning
V Prasad , B Ravindran , K. M. Krishna and more
In Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing
Improved Insights on Financial Health through Partially Constrained Hidden Markov Model Clustering on Loan Repayment Data
Improved Insights on Financial Health through Partially Constrained Hidden Markov Model Clustering on Loan Repayment Data
Dibu John Philip , Nandan Sudarsanam , B Ravindran
ACM SIGMIS Database: the DATABASE for Advances in Information Systems
Overtaking Maneuvers in Simulated Highway Driving using Deep Reinforcement Learning
Overtaking Maneuvers in Simulated Highway Driving using Deep Reinforcement Learning
Meha Kaushik , Vignesh Prasad , K Madhava Krishna and more
2018 IEEE Intelligent Vehicles Symposium
Towards a Better Metric for Evaluating Question Generation Systems
Towards a Better Metric for Evaluating Question Generation Systems
Preksha Nema , Mitesh M Khapra
In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Towards Exploiting Background Knowledge for Building Conversation Systems
Towards Exploiting Background Knowledge for Building Conversation Systems
Nikita Moghe , Siddhartha Arora , Suman Banerjee and more
In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
A Dataset for Building Code-Mixed Goal Oriented Conversation Systems
A Dataset for Building Code-Mixed Goal Oriented Conversation Systems
Suman Banerjee , Nikita Moghe , Siddhartha Arora and more
arXiv preprint arXiv:1806.05997
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions
Soham Parikh , Ananya Sai , Preksha Nema and more
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
Identification of Errors-in-Variables Models Using Dynamic Iterative Principal Component Analysis
Identification of Errors-in-Variables Models Using Dynamic Iterative Principal Component Analysis
Deepak Maurya , Arun Tangirala , Shankar Narasimhan
Industrial & Engineering Chemistry Research
Recovering from random pruning: On the plasticity of deep convolutional neural networks
Recovering from random pruning: On the plasticity of deep convolutional neural networks
Deepak Mittal , Shweta Bhardwaj , Mitesh M. Khapra and more
In 2018 IEEE Winter Conference on Applications of Computer Vision
Shared mechanisms among neurodegenerative diseases: from genetic factors to gene networks
Shared mechanisms among neurodegenerative diseases: from genetic factors to gene networks
Douglas Arneson , Yong Zhang , Xia Yang and more
Journal of genetics
Gene–gene and gene–environment interactions in complex traits in yeast
Gene–gene and gene–environment interactions in complex traits in yeast
Anupama Yadav , Himanshu Sinha
Yeast
Computational prediction of synthetic lethals in genome-scale metabolic models using Fast-SL
Computational prediction of synthetic lethals in genome-scale metabolic models using Fast-SL
Karthik Raman , Aditya Pratapa , Omkar Mohite and more
Metabolic Network Reconstruction and Modeling
Data mining and control loop performance assessment: The multivariate case
Data mining and control loop performance assessment: The multivariate case
Laya Das , Raghunathan Rengaswamy , Babji Srinivasan
AIChE Journal
Class Imbalance Learning
Class Imbalance Learning
S. Santhiappan , B Ravindran
Advanced Computing and Communications
Learning to repeat: Fine grained action repetition for deep reinforcement learning
Learning to repeat: Fine grained action repetition for deep reinforcement learning
Sahil Sharma , Aravind S Lakshminarayanan , B Ravindran
ICLR
Data Driven Strategies for Active Monocular SLAM using Inverse Reinforcement Learning
Data Driven Strategies for Active Monocular SLAM using Inverse Reinforcement Learning
Vignesh Prasad , Rishabh Jangir , B Balaraman and more
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems
Attend, Adapt, and Transfer: Attentive Deep Architecture for Adaptive Transfer from Multiple Sources in the Same Domain
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 and more
International Conference on Learning Representations
Thresholding Bandits with Augmented UCB
Thresholding Bandits with Augmented UCB
Subhojyoti Mukherjee , K. P. Naveen , Nandan Sudarsanam and more
In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
Travel Time Prediction Using Support Vector Regression
Travel Time Prediction Using Support Vector Regression
Gitakrishnan Ramadurai , AnnaMary Phillip , Lelitha Devi
Conference of the Transportation Research Group of India
Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy
Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy
Pratik Vinay Gupte , B Ravindran , Srinivasan Parthasarathy
In 2017 IEEE 33rd International Conference on Data Engineering
Diversity driven Attention Model for Query-based Abstractive Summarization
Diversity driven Attention Model for Query-based Abstractive Summarization
Preksha Nema , Mitesh M Khapra , Anirban Laha and more
Proceedings of the Fifty-Fifth Annual Meeting of the Association of Computational Linguistics
Dynamic Action Repetition for Deep Reinforcement Learning
Dynamic Action Repetition for Deep Reinforcement Learning
Aravind S Lakshminarayanan , Sahil Sharma , B Ravindran
Proceedings of the AAAI Conference on Artificial Intelligence
Predicting Novel Metabolic Pathways through Subgraph Mining
Predicting Novel Metabolic Pathways through Subgraph Mining
Aravind S Lakshminarayanan , Sahil Sharma , B Ravindran
Bioinformatics
Elucidating the biosynthetic pathways of volatile organic compounds in Mycobacterium tuberculosis through a computational approach
Elucidating the biosynthetic pathways of volatile organic compounds in Mycobacterium tuberculosis through a computational approach
Purva Bhatter , Karthik Raman , Vani Janakiraman
Mol. BioSyst
A General Mechanism for the Propagation of Mutational Effects in Proteins
A General Mechanism for the Propagation of Mutational Effects in Proteins
Nandakumar Rajasekaran , Swaathiratna Suresh , Soundhararajan Gopi and more
Biochemistry
Multivariate Control Loop Performance Assessment based on Scaling Exponent and Mahalanobis Distance
Multivariate Control Loop Performance Assessment based on Scaling Exponent and Mahalanobis Distance
Babji Srinivasan Leya Das , Reghunathan Rengaswamy
IEEE Control Systems Technology
Sensor network design for contaminant detection and identification in water distribution networks
Sensor network design for contaminant detection and identification in water distribution networks
Venkata Reddy Palleti , Shankar Narasimhan , Raghunathan Rengaswamy and more
Computers & Chemical Engineering
Statistical analysis of bus networks in India
Statistical analysis of bus networks in India
Atanu Chatterjee , Manju Manohar , Gitakrishnan Ramadurai
PloS one
Correlational neural networks
Correlational neural networks
Sarath Chandar , Mitesh M Khapra , Hugo Larochelle and more
Neural computation
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
Aravind Rajeswaran , Sarvjeet Ghotra , Sergey Levine and more
ICLR
Dynamic frame skip deep q network
Dynamic frame skip deep q network
Aravind S Lakshminarayanan , Sahil Sharma , B Ravindran
IJCAI 2016 Workshop on Deep Reinforcement Learning: Frontiers and Challenges
HEMI: Hyperedge Majority Influence Maximization
HEMI: Hyperedge Majority Influence Maximization
Varun Gangal , B Ravindran , Ramasuri Narayanam
arXiv preprint arXiv:1606.05065
In Silico Approaches to Metabolic Engineering
In Silico Approaches to Metabolic Engineering
A Badri , A Srinivasan , Karthik Raman
Current Developments in Biotechnology and Bioengineering
Bridge correlational neural networks for multilingual multimodal representation learning
Bridge correlational neural networks for multilingual multimodal representation learning
Janarthanan Rajendran , Mitesh M Khapra , Sarath Chandar and more
Neural Computation
Hierarchical activity recognition for dementia care using Markov Logic Network
Hierarchical activity recognition for dementia care using Markov Logic Network
KS Gayathri , Susan Elias , B Ravindran
Personal and Ubiquitous Computing
Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources
Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources
Janarthanan Rajendran , Aravind Lakshminarayanan , Mitesh M Khapra and more
arXiv preprint arXiv:1510.02879
Nonparametric Poisson Factorization Machine
Nonparametric Poisson Factorization Machine
Avijit Saha , Ayan Acharya , B Ravindran and more
Data Mining
Parallelization of game theoretic centrality algorithms
Parallelization of game theoretic centrality algorithms
M Vishnu Sankar , B Ravindran
Sadhana
Measuring network centrality using hypergraphs
Measuring network centrality using hypergraphs
Sanjukta Roy , B Ravindran
Proceedings of the Second ACM IKDD Conference on Data Sciences
Commit: A scalable approach to mining communication motifs from dynamic networks
Commit: A scalable approach to mining communication motifs from dynamic networks
Saket Gurukar , Sayan Ranu , B Ravindran
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data
Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning.
Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning.
Sai Nageswar Satchidanand , Harini Ananthapadmanaban , B Ravindran
IJCAI
CEIL: a scalable, resolution limit free approach for detecting communities in large networks.
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
Fast-SL:an efficient algorithm to identify synthetic lethal sets in metabolic networks
Fast-SL:an efficient algorithm to identify synthetic lethal sets in metabolic networks
A. Pratapa , S. Balachandran , K. Raman"
Bioinformatics
An autoencoder approach to learning bilingual word representations
An autoencoder approach to learning bilingual word representations
Sarath Chandar AP , Stanislas Lauly , Hugo Larochelle and more
Advances in Neural Information Processing Systems
Temporal analysis of telecom call graphs
Temporal analysis of telecom call graphs
Saket Gurukar , B Ravindran
Communication Systems and Networks
Activity recognition for natural human robot interaction
Activity recognition for natural human robot interaction
Addwiteey Chrungoo , SS Manimaran , B Ravindran
International Conference on Social Robotics
RRTPI: Policy iteration on continuous domains using rapidly-exploring random trees
RRTPI: Policy iteration on continuous domains using rapidly-exploring random trees
Manimaran Sivasamy Sivamurugan , B Ravindran
Robotics and Automation
Studying Indian Railways Network using hypergraphs
Studying Indian Railways Network using hypergraphs
Sai Nageswar Satchidanand , Siddharth Kumar Jain , Amit Maurya and more
Communication Systems and Networks
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
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 , B Ravindran and more
Frontiers in computational neuroscience

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