| 2026 | AAAI | SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories. | Returaj Burnwal, Nirav Pravinbhai Bhatt, Balaraman Ravindran |
| 2026 | SIGCOMM | Toward WAN-Aware LLM Training Across Heterogeneous, Geo-Distributed Sites. | Ziyue Luo, Jiaxuan Cai, Cedric Le Denmat, Srijith Nair, Fatemeh Nourzad, Rohith Krishnan Sudha, Qinhang Wu, Jifan Zhang, Sungjae Lee, Zhe Li, Peiwen Qiu, Siddharth Shah, Rishabh Sharma, Yinglun Xia, Xue Zheng, Zidong Liu, Bicheng Ying, Kaushik R. Chowdhury, Gauri Joshi, Yingbin Liang, Robert D. Nowak, Srinivasan Parthasarathy, Saurav Prakash, Balaraman Ravindran, Sanjay Shakkottai, Ness B. Shroff, Sundararajan Srinivasan, Haibo Yang, Aylin Yener, Jia Liu |
| 2025 | ACL | Language Models can Subtly Deceive Without Lying: A Case Study on Strategic Phrasing in Legislation. | Atharvan Dogra, Krishna Pillutla, Ameet Deshpande, Ananya B. Sai, John J. Nay, Tanmay Rajpurohit, Ashwin Kalyan, Balaraman Ravindran |
| 2025 | AIES | IndiCASA: A Dataset and Bias Evaluation Framework for LLMs Using Contrastive Embedding Similarity in the Indian Context. | Santhosh G. S, Akshay Govind S, Gokul S. Krishnan, Balaraman Ravindran, Sriraam Natarajan |
| 2025 | IJCNLP | Where Should I Study? Biased Language Models Decide! Evaluating Fairness in LMs for Academic Recommendations. | Krithi Shailya, Akhilesh Kumar Mishra, Gokul S. Krishnan, Balaraman Ravindran |
| 2025 | ISLPED | QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities. | Sai Kiran Narayanaswami, Gopalakrishnan Srinivasan, Balaraman Ravindran |
| 2024 | COMAD | Cost-Sensitive Trees for Interpretable Reinforcement Learning. | Siddharth Nishtala, Balaraman Ravindran |
| 2024 | COMAD | A Learning Approach for Discovering Cost-Efficient Integrated Sourcing and Routing Strategies in E-Commerce. | Omkar Shelke, Pranavi Pathakota, Anandsingh Chauhan, Hardik Meisheri, Harshad Khadilkar, Balaraman Ravindran |
| 2024 | COMAD | Guiding Offline Reinforcement Learning Using a Safety Expert. | Richa Verma, Durgesh Kalwar, Harshad Khadilkar, Balaraman Ravindran |
| 2024 | JURIX | InSaAF: Incorporating Safety Through Accuracy and Fairness - Are LLMs Ready for the Indian Legal Domain? | Yogesh Tripathi, Raghav Donakanti, Sahil Girhepuje, Ishan Kavathekar, Bhaskara Hanuma Vedula, Gokul S. Krishnan, Anmol Goel, Shreya Goyal, Balaraman Ravindran, Ponnurangam Kumaraguru |
| 2024 | MSR | Zero-shot Learning based Alternatives for Class Imbalanced Learning Problem in Enterprise Software Defect Analysis. | Sangameshwar Patil, Balaraman Ravindran |
| 2023 | KDD | Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference. | Mayuresh Kunjir, Sanjay Chawla, Siddarth Chandrasekar, Devika Jay, Balaraman Ravindran |
| 2022 | AISTATS | On Combining Bags to Better Learn from Label Proportions. | Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran |
| 2022 | CIKM | Domain-Agnostic Contrastive Representations for Learning from Label Proportions. | Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer |
| 2022 | COMAD | Smooth Imitation Learning via Smooth Costs and Smooth Policies. | Sapana Chaudhary, Balaraman Ravindran |
| 2022 | COMAD | Automated Incident Location Identification for EMS from Ambulance Geospatial Data. | Sruthikeerthi Nandita, Goutham Zampani, Gokul S. Krishnan, Gitakrishnan Ramadurai, Balaraman Ravindran |
| 2022 | COMAD | An Active Learning Framework for Efficient Robust Policy Search. | Sai Kiran Narayanaswami, Nandan Sudarsanam, Balaraman Ravindran |
| 2022 | CVPR | Detecting Vehicles on the Edge: Knowledge Distillation to Improve Performance in Heterogeneous Road Traffic. | Manoj Bharadhwaj, Gitakrishnan Ramadurai, Balaraman Ravindran |
| 2022 | FUSION | Hybrid Deep RePReL: Integrating Relational Planning and Reinforcement Learning for Information Fusion. | Harsha Kokel, Nikhilesh Prabhakar, Balaraman Ravindran, Erik Blasch, Prasad Tadepalli, Sriraam Natarajan |
| 2022 | ICDM | Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective. | Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran |
| 2022 | ICLR | Causal Contextual Bandits with Targeted Interventions. | Chandrasekar Subramanian, Balaraman Ravindran |
| 2022 | IJCAI | Evolutionary Approach to Security Games with Signaling. | Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran |
| 2022 | KDD | Multi-Variate Time Series Forecasting on Variable Subsets. | Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran |
| 2021 | AAAI | An Enhanced Advising Model in Teacher-Student Framework using State Categorization. | Daksh Anand, Vaibhav Gupta, Praveen Paruchuri, Balaraman Ravindran |
| 2021 | AAAI | Relational Boosted Bandits. | Ashutosh Kakadiya, Sriraam Natarajan, Balaraman Ravindran |
| 2021 | ACML | A Causal Approach for Unfair Edge Prioritization and Discrimination Removal. | Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran |
| 2021 | ACML | Metric Learning for comparison of HMMs using Graph Neural Networks. | Rajan Kumar Soni, Karthick Seshadri, Balaraman Ravindran |
| 2021 | COMAD | Inferring customer occupancy status in for-hire vehicles using PU Learning. | Vaishnavi Muralidharan, Nandan Sudarsanam, Balaraman Ravindran |
| 2021 | COMAD | A semi-supervised approach to growing classification trees. | Sudarsun Santhiappan, Balaraman Ravindran |
| 2021 | COMAD | Is it hard to learn a classifier on this dataset? | Sudarsun Santhiappan, Nitin Shravan, Balaraman Ravindran |
| 2021 | KDD | Semi-Supervised Deep Learning for Multiplex Networks. | Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran |
| 2021 | PAKDD | GrabQC: Graph Based Query Contextualization for Automated ICD Coding. | Jeshuren Chelladurai, Sudarsun Santhiappan, Balaraman Ravindran |
| 2020 | AAAI | ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract). | Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul |
| 2020 | ACL | Towards Transparent and Explainable Attention Models. | Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran |
| 2020 | ECCV | Reinforcement Learning for Improving Object Detection. | Siddharth Nayak, Balaraman Ravindran |
| 2020 | ICLR | EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks. | Sanchari Sen, Balaraman Ravindran, Anand Raghunathan |
| 2020 | IROS | Understanding Dynamic Scenes using Graph Convolution Networks. | Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri |
| 2020 | SDM | A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs. | Anasua Mitra, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran |
| 2019 | AAAI | MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. | Manan Tomar, Akhil Sathuluri, Balaraman Ravindran |
| 2019 | COMAD | Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing. | Athindran Ramesh Kumar, Balaraman Ravindran, Anand Raghunathan |
| 2019 | EMNLP | Let's Ask Again: Refine Network for Automatic Question Generation. | Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran |
| 2019 | IJCAI | Successor Options: An Option Discovery Framework for Reinforcement Learning. | Rahul Ramesh, Manan Tomar, Balaraman Ravindran |
| 2019 | SDM | Edge Replacement Grammars : A Formal Language Approach for Generating Graphs. | Revanth Reddy, Sarath Chandar, Balaraman Ravindran |
| 2018 | AAAI | Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates. | Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran |
| 2018 | COMAD | A neural attention based approach for clickstream mining. | Chandramohan T. N, Balaraman Ravindran |
| 2018 | COMAD | A novel topic modeling based weighting framework for class imbalance learning. | Sudarsun Santhiappan, Jeshuren Chelladurai, Balaraman Ravindran |
| 2018 | COMSNETS | Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data. | Deepak Mittal, Avinash Reddy, Gitakrishnan Ramadurai, Kaushik Mitra, Balaraman Ravindran |
| 2018 | HiPC | Looking Under the Hood of Deep Neural Networks. | Balaraman Ravindran |
| 2018 | ICLR | Learning to Multi-Task by Active Sampling. | Sahil Sharma, Ashutosh Kumar Jha, Parikshit Hegde, Balaraman Ravindran |
| 2018 | WACV | Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks. | Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran |
| 2017 | AAAI | Dynamic Action Repetition for Deep Reinforcement Learning. | Aravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran |
| 2017 | ACL | Diversity driven attention model for query-based abstractive summarization. | Preksha Nema, Mitesh M. Khapra, Anirban Laha, Balaraman Ravindran |
| 2017 | HPCC | DCEIL: Distributed Community Detection with the CEIL Score. | Akash Jain, Rupesh Nasre, Balaraman Ravindran |
| 2017 | ICDE | Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy. | Pratik Vinay Gupte, Balaraman Ravindran, Srinivasan Parthasarathy |
| 2017 | ICLR | 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, P. Prasanna, Balaraman Ravindran |
| 2017 | ICLR | EPOpt: Learning Robust Neural Network Policies Using Model Ensembles. | Aravind Rajeswaran, Sarvjeet Ghotra, Balaraman Ravindran, Sergey Levine |
| 2017 | ICLR | Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning. | Sahil Sharma, Aravind S. Lakshminarayanan, Balaraman Ravindran |
| 2017 | ICLR | Online Multi-Task Learning Using Active Sampling. | Sahil Sharma, Balaraman Ravindran |
| 2017 | IJCAI | Thresholding Bandits with Augmented UCB. | Subhojyoti Mukherjee, Kolar Purushothama Naveen, Nandan Sudarsanam, Balaraman Ravindran |
| 2016 | AAAI | Trust and Distrust Across Coalitions: Shapley Value Based Centrality Measures for Signed Networks (Student Abstract Version). | Varun Gangal, Abhishek Narwekar, Balaraman Ravindran, Ramasuri Narayanam |
| 2016 | IJCAI | HEMI: Hyperedge Majority Influence Maximization. | Varun Gangal, Balaraman Ravindran, Ramasuri Narayanam |
| 2016 | NAACL | Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. | Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran |
| 2015 | CICLING | Active Learning Based Weak Supervision for Textual Survey Response Classification. | Sangameshwar Patil, Balaraman Ravindran |
| 2015 | ICDM | Nonparametric Poisson Factorization Machine. | Avijit Saha, Ayan Acharya, Balaraman Ravindran, Joydeep Ghosh |
| 2015 | IJCAI | CEIL: A Scalable, Resolution Limit Free Approach for Detecting Communities in Large Networks. | Vishnu Sankar, Balaraman Ravindran, S. Shivashankar |
| 2015 | IJCAI | Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning. | Sai Nageswar Satchidanand, Harini Ananthapadmanaban, Balaraman Ravindran |
| 2015 | SIGMOD | COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks. | Saket Gurukar, Sayan Ranu, Balaraman Ravindran |
| 2014 | COMSNETS | Temporal analysis of telecom call graphs. | Saket Gurukar, Balaraman Ravindran |
| 2014 | COMSNETS | Studying Indian Railways Network using hypergraphs. | Sai Nageswar Satchidanand, Siddharth Kumar Jain, Amit Maurya, Balaraman Ravindran |
| 2014 | ICRA | RRTPI: Policy iteration on continuous domains using rapidly-exploring random trees. | Manimaran Sivasamy Sivamurugan, Balaraman Ravindran |
| 2013 | CIKM | Automated faceted reporting for web analytics. | Deepak Pai, Balaraman Ravindran, Shyam Rajagopalan, Ramesh Srinivasaraghavan |
| 2013 | CIKM | Will your facebook post be engaging? | Balaji Vasan Srinivasan, Anandhavelu Natarajan, Ritwik Sinha, Vineet Gupta, Shriram Revankar, Balaraman Ravindran |
| 2013 | EDM | Determining Review Coverage by Extracting Topic Sentences Using A Graph-based Clustering Approach. | Lakshmi Ramachandran, Balaraman Ravindran, Edward F. Gehringer |
| 2013 | ICCBR | iCaseViz: Learning Case Similarities through Interaction with a Case Base Visualizer. | Debarun Kar, Anand Kumar, Sutanu Chakraborti, Balaraman Ravindran |
| 2013 | Mobiquitous | Detection of Real-Time Intentions from Micro-blogs. | Nilanjan Banerjee, Dipanjan Chakraborty, Anupam Joshi, Sumit Mittal, Angshu Rai, Balaraman Ravindran |
| 2013 | PAKDD | Incremental Constrained Clustering: A Decision Theoretic Approach. | Swapna Raj Prabakara Raj, Balaraman Ravindran |
| 2012 | AAMAS | Learning in a small world. | Arun Tejasvi Chaganty, Prateek Gaur, Balaraman Ravindran |
| 2012 | COMSNETS | Adaptive network intrusion detection system using a hybrid approach. | R. Rangadurai Karthick, Vipul P. Hattiwale, Balaraman Ravindran |
| 2012 | FlAIRS | Instructing a Reinforcement Learner. | Pradyot Korupolu V. N., Manimaran Sivasamy Sivamurugan, Balaraman Ravindran |
| 2012 | ICANN | Understanding the Role of Serotonin in Basal Ganglia through a Unified Model. | Pragathi Priyadharsini Balasubramani, Balaraman Ravindran, V. Srinivasa Chakravarthy |
| 2012 | ICCBR | Feature Weighting and Confidence Based Prediction for Case Based Reasoning Systems. | Debarun Kar, Sutanu Chakraborti, Balaraman Ravindran |
| 2012 | ICRA | Where do i look now? Gaze allocation during visually guided manipulation. | Jos I. Nuez-Varela, Balaraman Ravindran, Jeremy L. Wyatt |
| 2012 | ICWSM | Towards Analyzing Micro-Blogs for Detection and Classification of Real-Time Intentions. | Nilanjan Banerjee, Dipanjan Chakraborty, Anupam Joshi, Sumit Mittal, Angshu Rai, Balaraman Ravindran |
| 2011 | COMSNETS | A system approach to network modeling for DDoS detection using a Nave Bayesian classifier. | Rajagopalan Vijayasarathy, Serugudi Venkataraman Raghavan, Balaraman Ravindran |
| 2011 | FlAIRS | Personalized Intelligent Tutoring System Using Reinforcement Learning. | Ankit Malpani, Balaraman Ravindran, Hema A. Murthy |
| 2011 | FlAIRS | Utility Driven Clustering. | Prabakararaj Swapna Raj, Balaraman Ravindran |
| 2011 | UAI | Fractional Moments on Bandit Problems. | Ananda Narayanan B., Balaraman Ravindran |
| 2010 | ECAI | Multi Grain Sentiment Analysis using Collective Classification. | S. Shivashankar, Balaraman Ravindran |
| 2010 | FlAIRS | Mining Actionable Patterns. | Prabakararaj Swapna Raj, Balaraman Ravindran |
| 2010 | FlAIRS | Visual Object Detection using Frequent Pattern Mining. | Yousuf Aboobaker Sait, Balaraman Ravindran |
| 2010 | ICANN | An Oscillatory Neural Network Model for Birdsong Learning and Generation. | Maya Manaithunai, V. Srinivasa Chakravarthy, Balaraman Ravindran |
| 2010 | ICRA | Accurate mobile robot localization in indoor environments using bluetooth. | Aswin N. Raghavan, Harini Ananthapadmanaban, Manimaran Sivasamy Sivamurugan, Balaraman Ravindran |
| 2010 | IROS | Transfer learning across heterogeneous robots with action sequence mapping. | Balaji Lakshmanan, Balaraman Ravindran |
| 2009 | COMAD | Epsilon Equitable Partition: A positional analysis method for large social networks. | Kiran Kate, Balaraman Ravindran |
| 2008 | COMAD | Personalized Web-page Rendering System. | Swapna Raj Prabakara Raj, Balaraman Ravindran |
| 2008 | FlAIRS | Machine Learning to Predict the Incidence of Retinopathy of Prematurity. | Aniket Ray, Vikas Kumar, Balaraman Ravindran, Lingam Gopal, Aditya Verma |
| 2008 | FlAIRS | Co-SOFT-Clustering: An Information Theoretic Approach to Obtain Overlapping Clusters from Co-Occurrence Data. | P. Swaminathan, Balaraman Ravindran |
| 2008 | ICDM | Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization. | Rachit Arora, Balaraman Ravindran |
| 2008 | ICML | On the hardness of finding symmetries in Markov decision processes. | Shravan Matthur Narayanamurthy, Balaraman Ravindran |
| 2008 | IJCNLP | Lexical Chains as Document Features. | Dinakar Jayarajan, Dipti Deodhare, Balaraman Ravindran |
| 2008 | IJCNLP | Automatic Identification of Rhetorical Roles using Conditional Random Fields for Legal Document Summarization. | M. Saravanan, Balaraman Ravindran, S. Raman |
| 2008 | SIGIR | Latent dirichlet allocation based multi-document summarization. | Rachit Arora, Balaraman Ravindran |
| 2007 | IJCAI | Image Modeling Using Tree Structured Conditional Random Fields. | Pranjal Awasthi, Aakanksha Gagrani, Balaraman Ravindran |
| 2007 | IJCAI | Efficiently Exploiting Symmetries in Real Time Dynamic Programming. | Shravan Matthur Narayanamurthy, Balaraman Ravindran |
| 2007 | IJCAI | Deictic Option Schemas. | Balaraman Ravindran, Andrew G. Barto, Vimal Mathew |
| 2007 | JURIX | Using Legal Ontology for Query Enhancement in Generating a Document Summary. | M. Saravanan, Balaraman Ravindran, S. Raman |
| 2006 | JURIX | Improving Legal Document Summarization Using Graphical Models. | M. Saravanan, Balaraman Ravindran, S. Raman |
| 2005 | VLSID | Placement and Routing for 3D-FPGAs Using Reinforcement Learning and Support Vector Machines. | R. Manimegalai, E. Siva Soumya, Vaishnavi Muralidharan, Balaraman Ravindran, V. Kamakoti, Dinesh Bhatia |
| 2003 | ICML | Relativized Options: Choosing the Right Transformation. | Balaraman Ravindran, Andrew G. Barto |
| 2003 | IJCAI | SMDP Homomorphisms: An Algebraic Approach to Abstraction in Semi-Markov Decision Processes. | Balaraman Ravindran, Andrew G. Barto |