Balaraman Ravindran

310 papers A* 33A 25B 9C 10Misc 17Journal 148Unranked 65

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OSIL: Learning Offline Safe Imitation Policies with Safety Inferred from Non-preferred Trajectories. CoRR Returaj Burnwal, Nirav Pravinbhai Bhatt, Balaraman Ravindran
2026	A*	`conf`	SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories. AAAI Returaj Burnwal, Nirav Pravinbhai Bhatt, Balaraman Ravindran
2026	J	`jnl`	Unifying Model-Free Efficiency and Model-Based Representations via Latent Dynamics. CoRR Jashaswimalya Acharjee, Balaraman Ravindran
2025	J	`jnl`	A drop-out mechanism for active learning based on one-attribute heuristics. Frontiers Artif. Intell. Sriram Ravichandran, Nandan Sudarsanam, Balaraman Ravindran, Konstantinos V. Katsikopoulos
2025	J	`jnl`	AQUA: Attention via QUery mAgnitudes for Memory and Compute Efficient Inference in LLMs. CoRR Santhosh G. S, Saurav Prakash, Balaraman Ravindran
2025	J	`jnl`	Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments. CoRR Abhishek Verma, Nallarasan V, Balaraman Ravindran
2025	J	`jnl`	CIAMS: clustering indices-based automatic classification model selection. Int. J. Data Sci. Anal. Sudarsun Santhiappan, Nitin Shravan, Balaraman Ravindran
2025	J	`jnl`	Causality in Bandits: A Survey. ACM Comput. Surv. Chandrasekar Subramanian, Balaraman Ravindran
2025	J	`jnl`	Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains. CoRR Abhishek Verma, Nallarasan V, Balaraman Ravindran
2025	J	`jnl`	IndiCASA: A Dataset and Bias Evaluation Framework in LLMs Using Contrastive Embedding Similarity in the Indian Context. CoRR Santhosh G. S, Akshay Govind S, Gokul S. Krishnan, Balaraman Ravindran, Sriraam Natarajan
2025	J	`jnl`	International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications. CoRR Yoshua Bengio, Stephen Clare, Carina Prunkl, Shalaleh Rismani, Maksym Andriushchenko, Ben Bucknall, Philip Fox, Tiancheng Hu, Cameron Jones, Sam Manning, Nestor Maslej, Vasilios Mavroudis, Conor McGlynn, Malcolm Murray, Charlotte Stix, Lucia Velasco, Nicole Wheeler, Daniel Privitera, Sören Mindermann, Daron Acemoglu, Thomas G. Dietterich, Fredrik Heintz, Geoffrey E. Hinton, Nicholas R. Jennings, Susan Leavy, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Alavaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Yan-Ning Zhang, Leandro Aguirre, Olubunmi Ajala, Fahad Albalawi Noora AlMalek, Christian Busch, André C. P. L. F. de Carvalho, Jonathan Collas, Amandeep Gill, Ahmet Halit Hatip, Juha Heikkilä, Chris Johnson, Gill Jolly, Ziv Katzir, Mary Kerema, Hiroaki Kitano, Antonio Krüger, Aoife McLysaght, Oleksii Molchanovskyi, Andrea Monti, Kyoung Mu Lee, Mona Nemer, Nuria Oliver, Raquel Pezoa Rivera, Audrey Plonk, José Ramón López Portillo, Balaraman Ravindran, Hammam Riza, Crystal Rugege, Haroon Sheikh, Denise Wong, Yi Zeng, Liming Zhu
2025	J	`jnl`	International AI Safety Report 2025: Second Key Update: Technical Safeguards and Risk Management. CoRR Yoshua Bengio, Stephen Clare, Carina Prunkl, Maksym Andriushchenko, Ben Bucknall, Philip Fox, Nestor Maslej, Conor McGlynn, Malcolm Murray, Shalaleh Rismani, Stephen Casper, Jessica Newman, Daniel Privitera, Sören Mindermann, Daron Acemoglu, Thomas G. Dietterich, Fredrik Heintz, Geoffrey E. Hinton, Nick R. Jennings, Susan Leavy, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Alavaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Yanning Zhang, Leandro Aguirre, Olubunmi Ajala, Fahad Albalawi Noora AlMalek, Noora AlMalek, Christian Busch, André Carvalho, Jonathan Collas, Amandeep Gill, Ahmet Halit Hatip, Juha Heikkilä, Chris Johnson, Gill Jolly, Ziv Katzir, Mary Kerema, Hiroaki Kitano, Antonio Krüger, Aoife McLysaght, Oleksii Molchanovskyi, Andrea Monti, Kyoung Mu Lee, Mona Nemer, Nuria Oliver, Raquel Pezoa, Audrey Plonk, José Ramón López Portillo, Balaraman Ravindran, Hammam Riza, Crystal Rugege, Haroon Sheikh, Denise Wong, Yi Zeng, Liming Zhu
2025	J	`jnl`	International AI Safety Report. CoRR Yoshua Bengio, Sören Mindermann, Daniel Privitera, Tamay Besiroglu, Rishi Bommasani, Stephen Casper, Yejin Choi, Philip Fox, Ben Garfinkel, Danielle Goldfarb, Hoda Heidari, Anson Ho, Sayash Kapoor, Leila Khalatbari, Shayne Longpre, Sam Manning, Vasilios Mavroudis, Mantas Mazeika, Julian Michael, Jessica Newman, Kwan Yee Ng, Chinasa T. Okolo, Inioluwa Deborah Raji, Girish Sastry, Elizabeth Seger, Theodora Skeadas, Tobin South, Emma Strubell, Florian Tramèr, Lucia Velasco, Nicole Wheeler, Daron Acemoglu, Olubayo Adekanmbi, David Dalrymple, Thomas G. Dietterich, Edward W. Felten, Pascale Fung, Pierre-Olivier Gourinchas, Fredrik Heintz, Geoffrey E. Hinton, Nick R. Jennings, Andreas Krause, Susan Leavy, Percy Liang, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Alice Oh, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Dawn Song, Alvaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Ya-Qin Zhang, Fahad Albalawi, Marwan Alserkal, Olubunmi Ajala, Guillaume Avrin, Christian Busch, André Carlos Ponce de Leon Ferreira de Carvalho, Bronwyn Fox, Amandeep Singh Gill, Ahmet Halit Hatip, Juha Heikkilä, Gill Jolly, Ziv Katzir, Hiroaki Kitano, Antonio Krüger, Chris Johnson, Saif M. Khan, Kyoung Mu Lee, Dominic Vincent Ligot, Oleksii Molchanovskyi, Andrea Monti, Nusu Mwamanzi, Mona Nemer, Nuria Oliver, José Ramón López Portillo, Balaraman Ravindran, Raquel Pezoa Rivera, Hammam Riza, Crystal Rugege, Ciarán Seoighe, Jerry Sheehan, Haroon Sheikh, Denise Wong, Yi Zeng
2025	J	`jnl`	Know your Trajectory - Trustworthy Reinforcement Learning deployment through Importance-Based Trajectory Analysis. CoRR Clifford F, Devika Jay, Abhishek Sarkar, Satheesh K. Perepu, Santhosh G. S, Kaushik Dey, Balaraman Ravindran
2025	—	`conf`	LExT: Towards Evaluating Trustworthiness of Natural Language Explanations. FAccT Krithi Shailya, Shreya Rajpal, Gokul S. Krishnan, Balaraman Ravindran
2025	J	`jnl`	LExT: Towards Evaluating Trustworthiness of Natural Language Explanations. CoRR Krithi Shailya, Shreya Rajpal, Gokul S. Krishnan, Balaraman Ravindran
2025	—	`conf`	Language Models can Subtly Deceive Without Lying: A Case Study on Strategic Phrasing in Legislation. ACL (1) Atharvan Dogra, Krishna Pillutla, Ameet Deshpande, Ananya B. Sai, John J. Nay, Tanmay Rajpurohit, Ashwin Kalyan, Balaraman Ravindran
2025	J	`jnl`	Learning from Observation: A Survey of Recent Advances. CoRR Returaj Burnwal, Hriday Mehta, Nirav Pravinbhai Bhatt, Balaraman Ravindran
2025	J	`jnl`	LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition Using Graph Neural Networks. IEEE Trans. Affect. Comput. Gokul S. Krishnan, Sarala Padi, Craig S. Greenberg, Balaraman Ravindran, Dinesh Manocha, Ram D. Sriram
2025	J	`jnl`	Multilinguality in LLM-Designed Reward Functions for Restless Bandits: Effects on Task Performance and Fairness. CoRR Ambreesh Parthasarathy, Chandrasekar Subramanian, Ganesh Senrayan, Shreyash Adappanavar, Aparna Taneja, Balaraman Ravindran, Milind Tambe
2025	J	`jnl`	PURE: policy-guided unbiased REpresentations for structure-constrained molecular generation. J. Cheminformatics Abhor Gupta, Barathi Lenin, Sean Current, Rohit Batra, Balaraman Ravindran, Karthik Raman, Srinivasan Parthasarathy
2025	A	`conf`	QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities. ISLPED Sai Kiran Narayanaswami, Gopalakrishnan Srinivasan, Balaraman Ravindran
2025	J	`jnl`	SWAN: Sparse Winnowed Attention for Reduced Inference Memory via Decompression-Free KV-Cache Compression. CoRR Santhosh G. S, Saurav Prakash, Balaraman Ravindran
2025	J	`jnl`	SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories. CoRR Returaj Burnwal, Nirav Pravinbhai Bhatt, Balaraman Ravindran
2025	—	`conf`	Where Should I Study? Biased Language Models Decide! Evaluating Fairness in LMs for Academic Recommendations. IJCNLP-AACL (Findings) Krithi Shailya, Akhilesh Kumar Mishra, Gokul S. Krishnan, Balaraman Ravindran
2025	J	`jnl`	Where Should I Study? Biased Language Models Decide! Evaluating Fairness in LMs for Academic Recommendations. CoRR Krithi Shailya, Akhilesh Kumar Mishra, Gokul S. Krishnan, Balaraman Ravindran
2025	J	`jnl`	mFARM: Towards Multi-Faceted Fairness Assessment based on HARMs in Clinical Decision Support. CoRR Shreyash Adappanavar, Krithi Shailya, Gokul S. Krishnan, Sriraam Natarajan, Balaraman Ravindran
2024	—	`conf`	A Learning Approach for Discovering Cost-Efficient Integrated Sourcing and Routing Strategies in E-Commerce. COMAD/CODS Omkar Shelke, Pranavi Pathakota, Anandsingh Chauhan, Hardik Meisheri, Harshad Khadilkar, Balaraman Ravindran
2024	J	`jnl`	Active learning with human heuristics: an algorithm robust to labeling bias. Frontiers Artif. Intell. Sriram Ravichandran, Nandan Sudarsanam, Balaraman Ravindran, Konstantinos V. Katsikopoulos
2024	J	`jnl`	Causal contextual bandits with one-shot data integration. Frontiers Artif. Intell. Chandrasekar Subramanian, Balaraman Ravindran
2024	—	`conf`	Cost-Sensitive Trees for Interpretable Reinforcement Learning. COMAD/CODS Siddharth Nishtala, Balaraman Ravindran
2024	J	`jnl`	Deception in Reinforced Autonomous Agents: The Unconventional Rabbit Hat Trick in Legislation. CoRR Atharvan Dogra, Ameet Deshpande, John J. Nay, Tanmay Rajpurohit, Ashwin Kalyan, Balaraman Ravindran
2024	—	`conf`	Guiding Offline Reinforcement Learning Using a Safety Expert. COMAD/CODS Richa Verma, Durgesh Kalwar, Harshad Khadilkar, Balaraman Ravindran
2024	C	`conf`	InSaAF: Incorporating Safety Through Accuracy and Fairness - Are LLMs Ready for the Indian Legal Domain? JURIX Yogesh Tripathi, Raghav Donakanti, Sahil Girhepuje, Ishan Kavathekar, Bhaskara Hanuma Vedula, Gokul S. Krishnan, Anmol Goel, Shreya Goyal, Balaraman Ravindran, Ponnurangam Kumaraguru
2024	J	`jnl`	InSaAF: Incorporating Safety through Accuracy and Fairness \| Are LLMs ready for the Indian Legal Domain? CoRR Yogesh Tripathi, Raghav Donakanti, Sahil Girhepuje, Ishan Kavathekar, Bhaskara Hanuma Vedula, Gokul S. Krishnan, Shreya Goyal, Anmol Goel, Balaraman Ravindran, Ponnurangam Kumaraguru
2024	A	`conf`	MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning. AAMAS Aravind Venugopal, Stephanie Milani, Fei Fang, Balaraman Ravindran
2024	J	`jnl`	Participatory Approaches in AI Development and Governance: A Principled Approach. CoRR Ambreesh Parthasarathy, Aditya Phalnikar, Ameen Jauhar, Dhruv Somayajula, Gokul S. Krishnan, Balaraman Ravindran
2024	J	`jnl`	Participatory Approaches in AI Development and Governance: Case Studies. CoRR Ambreesh Parthasarathy, Aditya Phalnikar, Gokul S. Krishnan, Ameen Jauhar, Balaraman Ravindran
2024	J	`jnl`	QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities. CoRR Sai Kiran Narayanaswami, Gopalakrishnan Srinivasan, Balaraman Ravindran
2024	J	`jnl`	TOMBoost: a topic modeling based boosting approach for learning with class imbalance. Int. J. Data Sci. Anal. Sudarsun Santhiappan, Jeshuren Chelladurai, Balaraman Ravindran
2024	A	`conf`	Zero-shot Learning based Alternatives for Class Imbalanced Learning Problem in Enterprise Software Defect Analysis. MSR Sangameshwar Patil, Balaraman Ravindran
2023	J	`jnl`	A Survey of Adversarial Defenses and Robustness in NLP. ACM Comput. Surv. Shreya Goyal, Sumanth Doddapaneni, Mitesh M. Khapra, Balaraman Ravindran
2023	J	`jnl`	Are Models Trained on Indian Legal Data Fair? CoRR Sahil Girhepuje, Anmol Goel, Gokul S. Krishnan, Shreya Goyal, Satyendra Pandey, Ponnurangam Kumaraguru, Balaraman Ravindran
2023	J	`jnl`	Bi-level Latent Variable Model for Sample-Efficient Multi-Agent Reinforcement Learning. CoRR Aravind Venugopal, Stephanie Milani, Fei Fang, Balaraman Ravindran
2023	J	`jnl`	Clustering Indices based Automatic Classification Model Selection. CoRR Sudarsun Santhiappan, Nitin Shravan, Balaraman Ravindran
2023	J	`jnl`	GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts. CoRR Returaj Burnwal, Anirban Santara, Nirav Pravinbhai Bhatt, Balaraman Ravindran, Gaurav Aggarwal
2023	—	`conf`	HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched With Attributes and Layers. LoG Naganand Yadati, Tarun Kumar, Deepak Maurya, Balaraman Ravindran, Partha P. Talukdar
2023	J	`jnl`	LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networks. CoRR Gokul S. Krishnan, Sarala Padi, Craig S. Greenberg, Balaraman Ravindran, Dinesh Manocha, Ram D. Sriram
2023	A	`conf`	Matching Options to Tasks using Option-Indexed Hierarchical Reinforcement Learning. AAMAS Kushal Chauhan, Soumya Chatterjee, Akash Reddy, Aniruddha S, Balaraman Ravindran, Pradeep Shenoy
2023	J	`jnl`	Multi-Agent Learning of Efficient Fulfilment and Routing Strategies in E-Commerce. CoRR Omkar Shelke, Pranavi Pathakota, Anandsingh Chauhan, Harshad Khadilkar, Hardik Meisheri, Balaraman Ravindran
2023	J	`jnl`	MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication. PLoS Comput. Biol. Tarun Kumar, Ramanathan Sethuraman, Sanga Mitra, Balaraman Ravindran, Manikandan Narayanan
2023	A*	`conf`	Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference. KDD Mayuresh Kunjir, Sanjay Chawla, Siddarth Chandrasekar, Devika Jay, Balaraman Ravindran
2023	—	`conf`	Oscillatory Network and Deep Value Network Based Memory Replay Model of Hippocampus. PReMI Tamizharasan Kanagamani, Madhuvanthi Muliya, V. Srinivasa Chakravarthy, Balaraman Ravindran, Ramshekhar N. Menon
2023	—	`conf`	Physics-Informed Model-Based Reinforcement Learning. L4DC Adithya Ramesh, Balaraman Ravindran
2023	B	`conf`	PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks. ASONAM Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy
2023	J	`jnl`	PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks. CoRR Saket Gurukar, Shaileshh Bojja Venkatakrishnan, Balaraman Ravindran, Srinivasan Parthasarathy
2023	J	`jnl`	RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains. Neural Comput. Appl. Harsha Kokel, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli
2022	J	`jnl`	A Survey in Adversarial Defences and Robustness in NLP. CoRR Shreya Goyal, Sumanth Doddapaneni, Mitesh M. Khapra, Balaraman Ravindran
2022	J	`jnl`	AI and data science centers in top Indian academic institutions. Commun. ACM Balaraman Ravindran, Sunita Sarawagi, Aditi Jain
2022	—	`conf`	An Active Learning Framework for Efficient Robust Policy Search. COMAD/CODS Sai Kiran Narayanaswami, Nandan Sudarsanam, Balaraman Ravindran
2022	—	`conf`	Automated Incident Location Identification for EMS from Ambulance Geospatial Data. COMAD/CODS Sruthikeerthi Nandita, Goutham Zampani, Gokul S. Krishnan, Gitakrishnan Ramadurai, Balaraman Ravindran
2022	J	`jnl`	Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress. Trans. Mach. Learn. Res. Saket Gurukar, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel
2022	A*	`conf`	Causal Contextual Bandits with Targeted Interventions. ICLR Chandrasekar Subramanian, Balaraman Ravindran
2022	—	`conf`	Detecting Vehicles on the Edge: Knowledge Distillation to Improve Performance in Heterogeneous Road Traffic. CVPR Workshops Manoj Bharadhwaj, Gitakrishnan Ramadurai, Balaraman Ravindran
2022	A	`conf`	Domain-Agnostic Contrastive Representations for Learning from Label Proportions. CIKM Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer
2022	A*	`conf`	Evolutionary Approach to Security Games with Signaling. IJCAI Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran
2022	J	`jnl`	Evolutionary Approach to Security Games with Signaling. CoRR Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran
2022	J	`jnl`	GrabQC: Graph based Query Contextualization for automated ICD coding. CoRR Jeshuren Chelladurai, Sudarsun Santhiappan, Balaraman Ravindran
2022	C	`conf`	Hybrid Deep RePReL: Integrating Relational Planning and Reinforcement Learning for Information Fusion. FUSION Harsha Kokel, Nikhilesh Prabhakar, Balaraman Ravindran, Erik Blasch, Prasad Tadepalli, Sriraam Natarajan
2022	J	`jnl`	Matching options to tasks using Option-Indexed Hierarchical Reinforcement Learning. CoRR Kushal Chauhan, Soumya Chatterjee, Akash Reddy, Balaraman Ravindran, Pradeep Shenoy
2022	A*	`conf`	Multi-Variate Time Series Forecasting on Variable Subsets. KDD Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran
2022	J	`jnl`	Multi-Variate Time Series Forecasting on Variable Subsets. CoRR Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran
2022	A	`conf`	On Combining Bags to Better Learn from Label Proportions. AISTATS Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran
2022	J	`jnl`	Physics-Informed Model-Based Reinforcement Learning. CoRR Adithya Ramesh, Balaraman Ravindran
2022	J	`jnl`	ReGrAt: Regularization in Graphs using Attention to handle class imbalance. CoRR Neeraja Kirtane, Jeshuren Chelladurai, Balaraman Ravindran, Ashish V. Tendulkar
2022	A*	`conf`	Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective. ICDM Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran
2022	J	`jnl`	Scalable multi-product inventory control with lead time constraints using reinforcement learning. Neural Comput. Appl. Hardik Meisheri, Nazneen N. Sultana, Mayank Baranwal, Vinita Baniwal, Somjit Nath, Satyam Verma, Balaraman Ravindran, Harshad Khadilkar
2022	J	`jnl`	Scaling Graph Propagation Kernels for Predictive Learning. Frontiers Big Data Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Srinivasan Parthasarathy, Balaraman Ravindran
2022	J	`jnl`	Single Shot Corrective CNN for Anatomically Correct 3D Hand Pose Estimation. Frontiers Artif. Intell. Joseph H. R. Isaac, Manivannan Muniyandi, Balaraman Ravindran
2022	—	`conf`	Smooth Imitation Learning via Smooth Costs and Smooth Policies. COMAD/CODS Sapana Chaudhary, Balaraman Ravindran
2022	—	`conf`	TAG: Task-based Accumulated Gradients for Lifelong learning. CoLLAs Pranshu Malviya, Balaraman Ravindran, Sarath Chandar
2021	C	`conf`	A Causal Approach for Unfair Edge Prioritization and Discrimination Removal. ACML Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran
2021	J	`jnl`	A Causal Approach for Unfair Edge Prioritization and Discrimination Removal. CoRR Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran
2021	—	`conf`	A Joint Training Framework for Open-World Knowledge Graph Embeddings. AKBC Karthik Visweswariah, Beethika Tripathi, Mitesh M. Khapra, Balaraman Ravindran
2021	—	`conf`	A semi-supervised approach to growing classification trees. COMAD/CODS Sudarsun Santhiappan, Balaraman Ravindran
2021	A*	`conf`	An Enhanced Advising Model in Teacher-Student Framework using State Categorization. AAAI Daksh Anand, Vaibhav Gupta, Praveen Paruchuri, Balaraman Ravindran
2021	J	`jnl`	Corrective Filter Based on Kinematics of Human Hand for Pose Estimation. Frontiers Virtual Real. Joseph Hosanna Raj Isaac, Manivannan Muniyandi, Balaraman Ravindran
2021	J	`jnl`	Dynamic probabilistic logic models for effective abstractions in RL. CoRR Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli
2021	—	`conf`	GrabQC: Graph Based Query Contextualization for Automated ICD Coding. PAKDD (1) Jeshuren Chelladurai, Sudarsun Santhiappan, Balaraman Ravindran
2021	J	`jnl`	Hyperedge Prediction using Tensor Eigenvalue Decomposition. CoRR Deepak Maurya, Balaraman Ravindran
2021	—	`conf`	Inferring customer occupancy status in for-hire vehicles using PU Learning. COMAD/CODS Vaishnavi Muralidharan, Nandan Sudarsanam, Balaraman Ravindran
2021	—	`conf`	Is it hard to learn a classifier on this dataset? COMAD/CODS Sudarsun Santhiappan, Nitin Shravan, Balaraman Ravindran
2021	J	`jnl`	MADRaS : Multi Agent Driving Simulator. J. Artif. Intell. Res. Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran
2021	C	`conf`	Metric Learning for comparison of HMMs using Graph Neural Networks. ACML Rajan Kumar Soni, Karthick Seshadri, Balaraman Ravindran
2021	J	`jnl`	Multi-Tailed, Multi-Headed, Spatial Dynamic Memory refined Text-to-Image Synthesis. CoRR Amrit Diggavi Seshadri, Balaraman Ravindran
2021	J	`jnl`	Neural Fitted Q Iteration based Optimal Bidding Strategy in Real Time Reactive Power Market_1. CoRR Jahnvi Patel, Devika Jay, Balaraman Ravindran, K. Shanti Swarup
2021	A*	`conf`	RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction. ICAPS Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli
2021	A	`conf`	Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty. AAMAS Aravind Venugopal, Elizabeth Bondi, Harshavardhan Kamarthi, Keval Dholakia, Balaraman Ravindran, Milind Tambe
2021	A*	`conf`	Relational Boosted Bandits. AAAI Ashutosh Kakadiya, Sriraam Natarajan, Balaraman Ravindran
2021	A	`conf`	SEERL: Sample Efficient Ensemble Reinforcement Learning. AAMAS Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
2021	J	`jnl`	Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes. CoRR Siddharth Nishtala, Lovish Madaan, Aditya Mate, Harshavardhan Kamarthi, Anirudh Grama, Divy Thakkar, Dhyanesh Narayanan, Suresh Chaudhary, Neha Madhiwalla, Ramesh Padmanabhan, Aparna Hegde, Pradeep Varakantham, Balaraman Ravindran, Milind Tambe
2021	A*	`conf`	Semi-Supervised Deep Learning for Multiplex Networks. KDD Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran
2021	J	`jnl`	Semi-Supervised Deep Learning for Multiplex Networks. CoRR Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran
2021	J	`jnl`	Smooth Imitation Learning via Smooth Costs and Smooth Policies. CoRR Sapana Chaudhary, Balaraman Ravindran
2021	J	`jnl`	TAG: Task-based Accumulated Gradients for Lifelong learning. CoRR Pranshu Malviya, Balaraman Ravindran, Sarath Chandar
2021	J	`jnl`	qRRT: Quality-Biased Incremental RRT for Optimal Motion Planning in Non-Holonomic Systems. CoRR Nahas Pareekutty, Francis James, Balaraman Ravindran, Suril Vijaykumar Shah
2020	J	`jnl`	A Causal Linear Model to Quantify Edge Unfairness for Unfair Edge Prioritization and Discrimination Removal. CoRR Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran
2020	A	`conf`	A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs. SDM Anasua Mitra, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran
2020	J	`jnl`	DyVEDeep: Dynamic Variable Effort Deep Neural Networks. ACM Trans. Embed. Comput. Syst. Sanjay Ganapathy, Swagath Venkataramani, Giridhur Sriraman, Balaraman Ravindran, Anand Raghunathan
2020	A*	`conf`	EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks. ICLR Sanchari Sen, Balaraman Ravindran, Anand Raghunathan
2020	J	`jnl`	EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks. CoRR Sanchari Sen, Balaraman Ravindran, Anand Raghunathan
2020	A*	`conf`	ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract). AAAI Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
2020	A	`conf`	ExTra: Transfer-guided Exploration. AAMAS Anirban Santara, Rishabh Madan, Pabitra Mitra, Balaraman Ravindran
2020	J	`jnl`	Goal directed molecule generation using Monte Carlo Tree Search. CoRR Anand A. Rajasekar, Karthik Raman, Balaraman Ravindran
2020	—	`conf`	HPRA: Hyperedge Prediction using Resource Allocation. WebSci Tarun Kumar, K. Darwin, Srinivasan Parthasarathy, Balaraman Ravindran
2020	J	`jnl`	HPRA: Hyperedge Prediction using Resource Allocation. CoRR Tarun Kumar, K. Darwin, Srinivasan Parthasarathy, Balaraman Ravindran
2020	J	`jnl`	Hypergraph Partitioning using Tensor Eigenvalue Decomposition. CoRR Deepak Maurya, Balaraman Ravindran
2020	J	`jnl`	Hypergraph clustering by iteratively reweighted modularity maximization. Appl. Netw. Sci. Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, Balaraman Ravindran
2020	A	`conf`	Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling. AAMAS Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe
2020	J	`jnl`	Interpretability With Accurate Small Models. Frontiers Artif. Intell. Abhishek Ghose, Balaraman Ravindran
2020	J	`jnl`	MADRaS : Multi Agent Driving Simulator. CoRR Anirban Santara, Sohan Rudra, Sree Aditya Buridi, Meha Kaushik, Abhishek Naik, Bharat Kaul, Balaraman Ravindran
2020	J	`jnl`	Missed calls, Automated Calls and Health Support: Using AI to improve maternal health outcomes by increasing program engagement. CoRR Siddharth Nishtala, Harshavardhan Kamarthi, Divy Thakkar, Dhyanesh Narayanan, Anirudh Grama, Ramesh Padmanabhan, Neha Madhiwalla, Suresh Chaudhary, Balaraman Ravindran, Milind Tambe
2020	J	`jnl`	On Incorporating Structural Information to improve Dialogue Response Generation. CoRR Nikita Moghe, Priyesh Vijayan, Balaraman Ravindran, Mitesh M. Khapra
2020	—	`conf`	Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning. ECML/PKDD (2) Arjun Manoharan, Rahul Ramesh, Balaraman Ravindran
2020	J	`jnl`	Predicting software defect type using concept-based classification. Empir. Softw. Eng. Sangameshwar Patil, Balaraman Ravindran
2020	J	`jnl`	Rate of change analysis for interestingness measures. Knowl. Inf. Syst. Nandan Sudarsanam, Nishanth Kumar, Abhishek Sharma, Balaraman Ravindran
2020	—	`conf`	Reinforcement Learning for Improving Object Detection. ECCV Workshops (5) Siddharth Nayak, Balaraman Ravindran
2020	J	`jnl`	Reinforcement Learning for Improving Object Detection. CoRR Siddharth Nayak, Balaraman Ravindran
2020	J	`jnl`	Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains. CoRR Nazneen N. Sultana, Hardik Meisheri, Vinita Baniwal, Somjit Nath, Balaraman Ravindran, Harshad Khadilkar
2020	J	`jnl`	Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty. CoRR Aravind Venugopal, Elizabeth Bondi, Harshavardhan Kamarthi, Keval Dholakia, Balaraman Ravindran, Milind Tambe
2020	J	`jnl`	Relational Boosted Bandits. CoRR Ashutosh Kakadiya, Sriraam Natarajan, Balaraman Ravindran
2020	J	`jnl`	SEERL: Sample Efficient Ensemble Reinforcement Learning. CoRR Rohan Saphal, Balaraman Ravindran, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
2020	C	`conf`	Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks. IV Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri
2020	J	`jnl`	Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks. CoRR Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri
2020	A*	`conf`	Towards Transparent and Explainable Attention Models. ACL Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran
2020	J	`jnl`	Towards Transparent and Explainable Attention Models. CoRR Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran
2020	A	`conf`	Understanding Dynamic Scenes using Graph Convolution Networks. IROS Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri
2020	J	`jnl`	Understanding Dynamic Scenes using Graph Convolution Networks. CoRR Sravan Mylavarapu, Mahtab Sandhu, Priyesh Vijayan, K. Madhava Krishna, Balaraman Ravindran, Anoop M. Namboodiri
2019	—	`conf`	A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering. COMPLEX NETWORKS (1) Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, Balaraman Ravindran
2019	A	`conf`	Advice Replay Approach for Richer Knowledge Transfer in Teacher Student Framework. AAMAS Vaibhav Gupta, Daksh Anand, Praveen Paruchuri, Balaraman Ravindran
2019	J	`jnl`	An Active Learning Framework for Efficient Robust Policy Search. CoRR Sai Kiran Narayanaswami, Nandan Sudarsanam, Balaraman Ravindran
2019	A	`conf`	Edge Replacement Grammars : A Formal Language Approach for Generating Graphs. SDM Revanth Reddy, Sarath Chandar, Balaraman Ravindran
2019	J	`jnl`	Edge Replacement Grammars: A Formal Language Approach for Generating Graphs. CoRR Revanth Reddy, Sarath Chandar, Balaraman Ravindran
2019	J	`jnl`	ExTra: Transfer-guided Exploration. CoRR Anirban Santara, Rishabh Madan, Balaraman Ravindran, Pabitra Mitra
2019	J	`jnl`	Generalized Random Surfer-Pair Models. CoRR Sai Kiran Narayanaswami, Balaraman Ravindran, Venkatesh Ramaiyan
2019	B	`conf`	Generalized random Surfer-Pair models. ASONAM Sai Kiran Narayanaswami, Balaraman Ravindran, Venkatesh Ramaiyan
2019	J	`jnl`	Learning Interpretable Models Using an Oracle. CoRR Abhishek Ghose, Balaraman Ravindran
2019	J	`jnl`	Learning policies for Social network discovery with Reinforcement learning. CoRR Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe
2019	—	`conf`	Let's Ask Again: Refine Network for Automatic Question Generation. EMNLP/IJCNLP (1) Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran
2019	J	`jnl`	Let's Ask Again: Refine Network for Automatic Question Generation. CoRR Preksha Nema, Akash Kumar Mohankumar, Mitesh M. Khapra, Balaji Vasan Srinivasan, Balaraman Ravindran
2019	A*	`conf`	MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. AAAI Manan Tomar, Akhil Sathuluri, Balaraman Ravindran
2019	A	`conf`	MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. AAMAS Manan Tomar, Akhil Sathuluri, Balaraman Ravindran
2019	J	`jnl`	MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning. CoRR Manan Tomar, Akhil Sathuluri, Balaraman Ravindran
2019	J	`jnl`	Network Representation Learning: Consolidation and Renewed Bearing. CoRR Saket Gurukar, Priyesh Vijayan, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, Balaraman Ravindran, Srinivasan Parthasarathy
2019	J	`jnl`	Optimal Resampling for Learning Small Models. CoRR Abhishek Ghose, Balaraman Ravindran
2019	J	`jnl`	Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning. CoRR Arjun Manoharan, Rahul Ramesh, Balaraman Ravindran
2019	—	`conf`	Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing. COMAD/CODS Athindran Ramesh Kumar, Balaraman Ravindran, Anand Raghunathan
2019	J	`jnl`	Polyphonic Music Composition with LSTM Neural Networks and Reinforcement Learning. CoRR Harish Kumar, Balaraman Ravindran
2019	J	`jnl`	Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems. CoRR Hardik Meisheri, Vinita Baniwal, Nazneen N. Sultana, Balaraman Ravindran, Harshad Khadilkar
2019	J	`jnl`	Studying the plasticity in deep convolutional neural networks using random pruning. Mach. Vis. Appl. Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran
2019	A*	`conf`	Successor Options: An Option Discovery Framework for Reinforcement Learning. IJCAI Rahul Ramesh, Manan Tomar, Balaraman Ravindran
2019	J	`jnl`	Successor Options: An Option Discovery Framework for Reinforcement Learning. CoRR Rahul Ramesh, Manan Tomar, Balaraman Ravindran
2019	—	`conf`	Temporal Analysis of a Bus Transit Network. COMPLEX NETWORKS (2) Manju Manohar Manjalavil, Gitakrishnan Ramadurai, Balaraman Ravindran
2018	—	`conf`	A Partial Parameter HMM Based Clustering on Loan Repayment Data: Insights into Financial Behavior and Intent to Repay. HICSS Dibu John Philip, Nandan Sudarsanam, Balaraman Ravindran
2018	—	`conf`	A neural attention based approach for clickstream mining. COMAD/CODS Chandramohan T. N, Balaraman Ravindran
2018	—	`conf`	A novel topic modeling based weighting framework for class imbalance learning. COMAD/CODS Sudarsun Santhiappan, Jeshuren Chelladurai, Balaraman Ravindran
2018	J	`jnl`	DiGrad: Multi-Task Reinforcement Learning with Shared Actions. CoRR Parijat Dewangan, S. Phani Teja, K. Madhava Krishna, Abhishek Sarkar, Balaraman Ravindran
2018	J	`jnl`	Discovering hierarchies using Imitation Learning from hierarchy aware policies. CoRR Ameet Deshpande, Harshavardhan P. K, Balaraman Ravindran
2018	A*	`conf`	Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates. AAAI Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran
2018	J	`jnl`	Fusion Graph Convolutional Networks. CoRR Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Balaraman Ravindran
2018	J	`jnl`	HOPF: Higher Order Propagation Framework for Deep Collective Classification. CoRR Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Balaraman Ravindran
2018	J	`jnl`	Hypergraph Clustering: A Modularity Maximization Approach. CoRR Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, Balaraman Ravindran
2018	J	`jnl`	Improved Insights on Financial Health through Partially Constrained Hidden Markov Model Clustering on Loan Repayment Data. Data Base Dibu John Philip, Nandan Sudarsanam, Balaraman Ravindran
2018	J	`jnl`	Language Expansion In Text-Based Games. CoRR Ghulam Ahmed Ansari, Sagar J. P, Sarath Chandar, Balaraman Ravindran
2018	—	`conf`	Learning to Multi-Task by Active Sampling. ICLR (Poster) Sahil Sharma, Ashutosh Kumar Jha, Parikshit Hegde, Balaraman Ravindran
2018	—	`conf`	Learning to Prevent Monocular SLAM Failure using Reinforcement Learning. ICVGIP Vignesh Prasad, Karmesh Yadav, Rohitashva Singh Saurabh, Swapnil Daga, Nahas Pareekutty, K. Madhava Krishna, Balaraman Ravindran, Brojeshwar Bhowmick
2018	Misc	`conf`	Looking Under the Hood of Deep Neural Networks. HiPC Balaraman Ravindran
2018	B	`conf`	Overtaking Maneuvers in Simulated Highway Driving using Deep Reinforcement Learning. Intelligent Vehicles Symposium Meha Kaushik, Vignesh Prasad, K. Madhava Krishna, Balaraman Ravindran
2018	J	`jnl`	Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing. CoRR Athindran Ramesh Kumar, Balaraman Ravindran, Anand Raghunathan
2018	A	`conf`	RAIL: Risk-Averse Imitation Learning. AAMAS Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
2018	A	`conf`	Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks. WACV Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran
2018	J	`jnl`	Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks. CoRR Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran
2018	J	`jnl`	Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning. CoRR Deepak Mittal, Shweta Bhardwaj, Mitesh M. Khapra, Balaraman Ravindran
2018	Misc	`conf`	Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data. COMSNETS Deepak Mittal, Avinash Reddy, Gitakrishnan Ramadurai, Kaushik Mitra, Balaraman Ravindran
2018	J	`jnl`	Using Linear Stochastic Bandits to extend traditional offline Designed Experiments to online settings. Comput. Ind. Eng. Nandan Sudarsanam, Balaraman Ravindran
2017	—	`conf`	Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain. ICLR (Poster) Janarthanan Rajendran, Aravind S. Lakshminarayanan, Mitesh M. Khapra, P. Prasanna, Balaraman Ravindran
2017	—	`conf`	DCEIL: Distributed Community Detection with the CEIL Score. HPCC/SmartCity/DSS Akash Jain, Rupesh Nasre, Balaraman Ravindran
2017	A	`conf`	Data Driven Strategies for Active Monocular SLAM using Inverse Reinforcement Learning. AAMAS Vignesh Prasad, Rishabh Jangir, Balaraman Ravindran, K. Madhava Krishna
2017	J	`jnl`	Diversity driven Attention Model for Query-based Abstractive Summarization. CoRR Preksha Nema, Mitesh M. Khapra, Anirban Laha, Balaraman Ravindran
2017	—	`conf`	Diversity driven attention model for query-based abstractive summarization. ACL (1) Preksha Nema, Mitesh M. Khapra, Anirban Laha, Balaraman Ravindran
2017	J	`jnl`	DyVEDeep: Dynamic Variable Effort Deep Neural Networks. CoRR Sanjay Ganapathy, Swagath Venkataramani, Balaraman Ravindran, Anand Raghunathan
2017	A*	`conf`	Dynamic Action Repetition for Deep Reinforcement Learning. AAAI Aravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran
2017	—	`conf`	Dynamic Class Learning Approach for Smart CBIR. NCVPRIPG Girraj Pahariya, Balaraman Ravindran, Sukhendu Das
2017	—	`conf`	EPOpt: Learning Robust Neural Network Policies Using Model Ensembles. ICLR (Poster) Aravind Rajeswaran, Sarvjeet Ghotra, Balaraman Ravindran, Sergey Levine
2017	J	`jnl`	Efficient-UCBV: An Almost Optimal Algorithm using Variance Estimates. CoRR Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran
2017	J	`jnl`	Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning. CoRR Sahil Sharma, Aravind Suresh, Rahul Ramesh, Balaraman Ravindran
2017	J	`jnl`	Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning. CoRR Sahil Sharma, Girish Raguvir J, Srivatsan Ramesh, Balaraman Ravindran
2017	—	`conf`	Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning. ICLR (Poster) Sahil Sharma, Aravind S. Lakshminarayanan, Balaraman Ravindran
2017	J	`jnl`	Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning. CoRR Sahil Sharma, Aravind S. Lakshminarayanan, Balaraman Ravindran
2017	B	`conf`	MCEIL: An Improved Scoring Function for Overlapping Community Detection using Seed Expansion Methods. ASONAM Prathamesh Deshpande, Balaraman Ravindran
2017	—	`conf`	Online Multi-Task Learning Using Active Sampling. ICLR (Workshop) Sahil Sharma, Balaraman Ravindran
2017	J	`jnl`	Online Multi-Task Learning Using Active Sampling. CoRR Sahil Sharma, Balaraman Ravindran
2017	J	`jnl`	RAIL: Risk-Averse Imitation Learning. CoRR Anirban Santara, Abhishek Naik, Balaraman Ravindran, Dipankar Das, Dheevatsa Mudigere, Sasikanth Avancha, Bharat Kaul
2017	J	`jnl`	Rate of Change Analysis for Interestingness Measures. CoRR Nandan Sudarsanam, Nishanth Kumar, Abhishek Sharma, Balaraman Ravindran
2017	A*	`conf`	Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy. ICDE Pratik Vinay Gupte, Balaraman Ravindran, Srinivasan Parthasarathy
2017	J	`jnl`	Shared Learning : Enhancing Reinforcement in $Q$-Ensembles. CoRR Rakesh R. Menon, Balaraman Ravindran
2017	A*	`conf`	Thresholding Bandits with Augmented UCB. IJCAI Subhojyoti Mukherjee, Kolar Purushothama Naveen, Nandan Sudarsanam, Balaraman Ravindran
2017	J	`jnl`	Thresholding Bandits with Augmented UCB. CoRR Subhojyoti Mukherjee, Kolar Purushothama Naveen, Nandan Sudarsanam, Balaraman Ravindran
2016	Misc	`ed.`	21st International Conference on Management of Data, COMAD 2016, Pune, India, March 11-13, 2016. COMAD Amol Deshpande, Balaraman Ravindran, Sayan Ranu
2016	—	`conf`	Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. HLT-NAACL Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran
2016	J	`jnl`	Correlational Neural Networks. Neural Comput. Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle, Balaraman Ravindran
2016	J	`jnl`	Dynamic Frame skip Deep Q Network. CoRR Aravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran
2016	J	`jnl`	EPOpt: Learning Robust Neural Network Policies Using Model Ensembles. CoRR Aravind Rajeswaran, Sarvjeet Ghotra, Sergey Levine, Balaraman Ravindran
2016	J	`jnl`	Exploration for Multi-task Reinforcement Learning with Deep Generative Models. CoRR Sai Praveen Bangaru, J. S. Suhas, Balaraman Ravindran
2016	—	`conf`	HEMI: Hyperedge Majority Influence Maximization. SocInf@IJCAI Varun Gangal, Balaraman Ravindran, Ramasuri Narayanam
2016	J	`jnl`	HEMI: Hyperedge Majority Influence Maximization. CoRR Varun Gangal, Balaraman Ravindran, Ramasuri Narayanam
2016	J	`jnl`	Hierarchical Reinforcement Learning using Spatio-Temporal Abstractions and Deep Neural Networks. CoRR Ramnandan Krishnamurthy, Aravind S. Lakshminarayanan, Peeyush Kumar, Balaraman Ravindran
2016	J	`jnl`	Linear Bandit algorithms using the Bootstrap. CoRR Nandan Sudarsanam, Balaraman Ravindran
2016	J	`jnl`	SLAM-Safe Planner: Preventing Monocular SLAM Failure using Reinforcement Learning. CoRR Vignesh Prasad, Saurabh Singh, Nahas Pareekutty, Balaraman Ravindran, K. Madhava Krishna
2016	A*	`conf`	Trust and Distrust Across Coalitions: Shapley Value Based Centrality Measures for Signed Networks (Student Abstract Version). AAAI Varun Gangal, Abhishek Narwekar, Balaraman Ravindran, Ramasuri Narayanam
2015	J	`jnl`	A Reinforcement Learning Approach to Online Learning of Decision Trees. CoRR Abhinav Garlapati, Aditi Raghunathan, Vaishnavh Nagarajan, Balaraman Ravindran
2015	J	`jnl`	A network model of basal ganglia for understanding the roles of dopamine and serotonin in reward-punishment-risk based decision making. Frontiers Comput. Neurosci. Pragathi Priyadharsini Balasubramani, V. Srinivasa Chakravarthy, Balaraman Ravindran, Ahmed A. Moustafa
2015	J	`jnl`	ADAAPT: A Deep Architecture for Adaptive Policy Transfer from Multiple Sources. CoRR Janarthanan Rajendran, P. Prasanna, Balaraman Ravindran, Mitesh M. Khapra
2015	—	`conf`	Active Learning Based Weak Supervision for Textual Survey Response Classification. CICLing (2) Sangameshwar Patil, Balaraman Ravindran
2015	J	`jnl`	Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning. CoRR Janarthanan Rajendran, Mitesh M. Khapra, Sarath Chandar, Balaraman Ravindran
2015	A*	`conf`	CEIL: A Scalable, Resolution Limit Free Approach for Detecting Communities in Large Networks. IJCAI Vishnu Sankar, Balaraman Ravindran, S. Shivashankar
2015	—	`conf`	COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks. SIGMOD Conference Saket Gurukar, Sayan Ranu, Balaraman Ravindran
2015	J	`jnl`	Correlational Neural Networks. CoRR Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle, Balaraman Ravindran
2015	A*	`conf`	Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning. IJCAI Sai Nageswar Satchidanand, Harini Ananthapadmanaban, Balaraman Ravindran
2015	—	`conf`	From multiple views to single view: a neural network approach. CODS Subendhu Rongali, A. P. Sarath Chandar, Balaraman Ravindran
2015	J	`jnl`	Hierarchical activity recognition for dementia care using Markov Logic Network. Pers. Ubiquitous Comput. K. S. Gayathri, Susan Elias, Balaraman Ravindran
2015	—	`conf`	Measuring network centrality using hypergraphs. CODS Sanjukta Roy, Balaraman Ravindran
2015	A	`conf`	Near Optimal Strategies for Targeted Marketing in Social Networks. AAMAS Ramakumar Pasumarthi, Ramasuri Narayanam, Balaraman Ravindran
2015	A*	`conf`	Nonparametric Poisson Factorization Machine. ICDM Avijit Saha, Ayan Acharya, Balaraman Ravindran, Joydeep Ghosh
2015	—	`conf`	Scalable Bayesian Matrix Factorization. MUSE@PKDD/ECML Avijit Saha, Rishabh Misra, Balaraman Ravindran
2015	J	`jnl`	TSEB: More Efficient Thompson Sampling for Policy Learning. CoRR P. Prasanna, Sarath Chandar, Balaraman Ravindran
2014	B	`conf`	Activity Recognition for Natural Human Robot Interaction. ICSR Addwiteey Chrungoo, S. S. Manimaran, Balaraman Ravindran
2014	—	`conf`	An Autoencoder Approach to Learning Bilingual Word Representations. NIPS A. P. Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh M. Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha
2014	J	`jnl`	An Autoencoder Approach to Learning Bilingual Word Representations. CoRR A. P. Sarath Chandar, Stanislas Lauly, Hugo Larochelle, Mitesh M. Khapra, Balaraman Ravindran, Vikas C. Raykar, Amrita Saha
2014	J	`jnl`	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. Frontiers Comput. Neurosci. Pragathi Priyadharsini Balasubramani, V. Srinivasa Chakravarthy, Balaraman Ravindran, Ahmed A. Moustafa
2014	J	`jnl`	Efficient Computation of the Shapley Value for Game-Theoretic Network Centrality. CoRR Tomasz Pawel Michalak, Aadithya V. Karthik, Piotr L. Szczepanski, Balaraman Ravindran, Nicholas R. Jennings
2014	B	`conf`	Multi-label collective classification in multi-attribute multi-relational network data. ASONAM Priyesh Vijayan, Shivashankar Subramanian, Balaraman Ravindran
2014	—	`ed.`	Proceedings of the 1st IKDD Conference on Data Sciences, Delhi, India, March 21 - 23, 2014 CODS Balaraman Ravindran, Kamalakar Karlapalem
2014	A*	`conf`	RRTPI: Policy iteration on continuous domains using rapidly-exploring random trees. ICRA Manimaran Sivasamy Sivamurugan, Balaraman Ravindran
2014	J	`jnl`	Scalable Positional Analysis for Studying Evolution of Nodes in Networks. CoRR Pratik Vinay Gupte, Balaraman Ravindran
2014	Misc	`conf`	Studying Indian Railways Network using hypergraphs. COMSNETS Sai Nageswar Satchidanand, Siddharth Kumar Jain, Amit Maurya, Balaraman Ravindran
2014	Misc	`conf`	Temporal analysis of telecom call graphs. COMSNETS Saket Gurukar, Balaraman Ravindran
2013	—	`conf`	Automated faceted reporting for web analytics. Web-KRM@CIKM Deepak Pai, Balaraman Ravindran, Shyam Rajagopalan, Ramesh Srinivasaraghavan
2013	C	`conf`	Detection of Real-Time Intentions from Micro-blogs. MobiQuitous Nilanjan Banerjee, Dipanjan Chakraborty, Anupam Joshi, Sumit Mittal, Angshu Rai, Balaraman Ravindran
2013	B	`conf`	Determining Review Coverage by Extracting Topic Sentences Using A Graph-based Clustering Approach. EDM Lakshmi Ramachandran, Balaraman Ravindran, Edward F. Gehringer
2013	J	`jnl`	Efficient Computation of the Shapley Value for Game-Theoretic Network Centrality. J. Artif. Intell. Res. Tomasz P. Michalak, Aadithya V. Karthik, Piotr L. Szczepanski, Balaraman Ravindran, Nicholas R. Jennings
2013	—	`conf`	Incremental Constrained Clustering: A Decision Theoretic Approach. PAKDD Workshops Swapna Raj Prabakara Raj, Balaraman Ravindran
2013	—	`conf`	Will your facebook post be engaging? UEO@CIKM Balaji Vasan Srinivasan, Anandhavelu Natarajan, Ritwik Sinha, Vineet Gupta, Shriram Revankar, Balaraman Ravindran
2013	C	`conf`	iCaseViz: Learning Case Similarities through Interaction with a Case Base Visualizer. ICCBR Debarun Kar, Anand Kumar, Sutanu Chakraborti, Balaraman Ravindran
2012	Misc	`conf`	Adaptive network intrusion detection system using a hybrid approach. COMSNETS R. Rangadurai Karthick, Vipul P. Hattiwale, Balaraman Ravindran
2012	C	`conf`	Feature Weighting and Confidence Based Prediction for Case Based Reasoning Systems. ICCBR Debarun Kar, Sutanu Chakraborti, Balaraman Ravindran
2012	J	`jnl`	Fractional Moments on Bandit Problems CoRR Ananda Narayanan B., Balaraman Ravindran
2012	—	`conf`	Functional site prediction by exploiting correlations between labels of interacting residues. BCB Saradindu Kar, Deepak Vijayakeerthi, Ashish V. Tendulkar, Balaraman Ravindran
2012	—	`conf`	Gaze Allocation Analysis for a Visually Guided Manipulation Task. SAB José I. Nuñez-Varela, Balaraman Ravindran, Jeremy L. Wyatt
2012	Misc	`conf`	Instructing a Reinforcement Learner. FLAIRS Pradyot Korupolu V. N., Manimaran Sivasamy Sivamurugan, Balaraman Ravindran
2012	—	`conf`	Integrating Human Instructions and Reinforcement Learners: An SRL Approach. StarAI@UAI Pradyot Korupolu V. N., S. S. Manimaran, Balaraman Ravindran, Sriraam Natarajan
2012	A	`conf`	Learning in a small world. AAMAS Arun Tejasvi Chaganty, Prateek Gaur, Balaraman Ravindran
2012	A	`conf`	Towards Analyzing Micro-Blogs for Detection and Classification of Real-Time Intentions. ICWSM Nilanjan Banerjee, Dipanjan Chakraborty, Anupam Joshi, Sumit Mittal, Angshu Rai, Balaraman Ravindran
2012	—	`conf`	Understanding the Role of Serotonin in Basal Ganglia through a Unified Model. ICANN (1) Pragathi Priyadharsini Balasubramani, Balaraman Ravindran, V. Srinivasa Chakravarthy
2012	A*	`conf`	Where do i look now? Gaze allocation during visually guided manipulation. ICRA José I. Nuñez-Varela, Balaraman Ravindran, Jeremy L. Wyatt
2011	Misc	`conf`	A system approach to network modeling for DDoS detection using a Naìve Bayesian classifier. COMSNETS Rajagopalan Vijayasarathy, Serugudi Venkataraman Raghavan, Balaraman Ravindran
2011	A	`conf`	Fractional Moments on Bandit Problems. UAI Ananda Narayanan B., Balaraman Ravindran
2011	J	`jnl`	Modeling Basal Ganglia for Understanding Parkinsonian Reaching Movements. Neural Comput. K. N. Magdoom, Deepak Subramanian, V. Srinivasa Chakravarthy, Balaraman Ravindran, Shun-ichi Amari, N. Meenakshisundaram
2011	J	`jnl`	Multi-view methods for protein structure comparison using latent dirichlet allocation. Bioinform. S. Shivashankar, S. Srivathsan, Balaraman Ravindran, Ashish V. Tendulkar
2011	—	`conf`	Options with Exceptions. EWRL Munu Sairamesh, Balaraman Ravindran
2011	Misc	`conf`	Personalized Intelligent Tutoring System Using Reinforcement Learning. FLAIRS Ankit Malpani, Balaraman Ravindran, Hema A. Murthy
2011	Misc	`conf`	Utility Driven Clustering. FLAIRS Prabakararaj Swapna Raj, Balaraman Ravindran
2010	A*	`conf`	Accurate mobile robot localization in indoor environments using bluetooth. ICRA Aswin N. Raghavan, Harini Ananthapadmanaban, Manimaran Sivasamy Sivamurugan, Balaraman Ravindran
2010	—	`ed.`	Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part I PAKDD (1) Mohammed Javeed Zaki, Jeffrey Xu Yu, Balaraman Ravindran, Vikram Pudi
2010	—	`ed.`	Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II PAKDD (2) Mohammed Javeed Zaki, Jeffrey Xu Yu, Balaraman Ravindran, Vikram Pudi
2010	—	`conf`	An Oscillatory Neural Network Model for Birdsong Learning and Generation. ICANN (2) Maya Manaithunai, V. Srinivasa Chakravarthy, Balaraman Ravindran
2010	—	`conf`	Efficient Computation of the Shapley Value for Centrality in Networks. WINE Aadithya V. Karthik, Balaraman Ravindran, Tomasz P. Michalak, Nicholas R. Jennings
2010	A	`conf`	Game theoretic network centrality: exact formulas and efficient algorithms. AAMAS Aadithya V. Karthik, Balaraman Ravindran
2010	J	`jnl`	Identification of Rhetorical Roles for Segmentation and Summarization of a Legal Judgment. Artif. Intell. Law M. Saravanan, Balaraman Ravindran
2010	Misc	`conf`	Mining Actionable Patterns. FLAIRS Prabakararaj Swapna Raj, Balaraman Ravindran
2010	A	`conf`	Multi Grain Sentiment Analysis using Collective Classification. ECAI S. Shivashankar, Balaraman Ravindran
2010	A	`conf`	Transfer learning across heterogeneous robots with action sequence mapping. IROS Balaji Lakshmanan, Balaraman Ravindran
2010	Misc	`conf`	Visual Object Detection using Frequent Pattern Mining. FLAIRS Yousuf Aboobaker Sait, Balaraman Ravindran
2009	Misc	`conf`	Epsilon Equitable Partition: A positional analysis method for large social networks. COMAD Kiran Kate, Balaraman Ravindran
2009	J	`jnl`	Improving legal information retrieval using an ontological framework. Artif. Intell. Law M. Saravanan, Balaraman Ravindran, S. Raman
2009	—	`conf`	MDP based active localization for multiple robots. CASE Jyotika Bahuguna, Balaraman Ravindran, K. Madhava Krishna
2008	B	`conf`	Automatic Identification of Rhetorical Roles using Conditional Random Fields for Legal Document Summarization. IJCNLP M. Saravanan, Balaraman Ravindran, S. Raman
2008	Misc	`conf`	Co-SOFT-Clustering: An Information Theoretic Approach to Obtain Overlapping Clusters from Co-Occurrence Data. FLAIRS P. Swaminathan, Balaraman Ravindran
2008	A*	`conf`	Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization. ICDM Rachit Arora, Balaraman Ravindran
2008	—	`conf`	Latent dirichlet allocation based multi-document summarization. AND Rachit Arora, Balaraman Ravindran
2008	B	`conf`	Lexical Chains as Document Features. IJCNLP Dinakar Jayarajan, Dipti Deodhare, Balaraman Ravindran
2008	Misc	`conf`	Machine Learning to Predict the Incidence of Retinopathy of Prematurity. FLAIRS Aniket Ray, Vikas Kumar, Balaraman Ravindran, Lingam Gopal, Aditya Verma
2008	A*	`conf`	On the hardness of finding symmetries in Markov decision processes. ICML Shravan Matthur Narayanamurthy, Balaraman Ravindran
2008	Misc	`conf`	Personalized Web-page Rendering System. COMAD Swapna Raj Prabakara Raj, Balaraman Ravindran
2008	—	`conf`	Successive refinement algorithms for distributed area coverage using mobile robots. Bangalore Compute Conf. Sriram Raghavan, Balaraman Ravindran
2007	A*	`conf`	Deictic Option Schemas. IJCAI Balaraman Ravindran, Andrew G. Barto, Vimal Mathew
2007	A*	`conf`	Efficiently Exploiting Symmetries in Real Time Dynamic Programming. IJCAI Shravan Matthur Narayanamurthy, Balaraman Ravindran
2007	—	`conf`	Homogeneous Hierarchical Composition of Areas in Multi-robot Area Coverage. SARA Sriram Raghavan, Balaraman Ravindran
2007	A*	`conf`	Image Modeling Using Tree Structured Conditional Random Fields. IJCAI Pranjal Awasthi, Aakanksha Gagrani, Balaraman Ravindran
2007	—	`conf`	Intelligent Tutoring Systems using Reinforcement Learning to teach Autistic Students. HOIT B. H. Sreenivasa Sarma, Balaraman Ravindran
2007	—	`conf`	Profiling Pseudonet Architecture for Coordinating Mobile Robots. COMSWARE Sriram Raghavan, Balaraman Ravindran
2007	C	`conf`	Using Legal Ontology for Query Enhancement in Generating a Document Summary. JURIX M. Saravanan, Balaraman Ravindran, S. Raman
2006	—	`conf`	A Hierarchical Approach to Landform Classification of Satellite Images Using a Fusion Strategy. ICVGIP Aakanksha Gagrani, Lalit Gupta, Balaraman Ravindran, Sukhendu Das, Pinaki Roychowdhury, V. K. Panchal
2006	J	`jnl`	A Probabilistic Approach to Multi-Document Summarization for Generating a Tiled Summary. Int. J. Comput. Intell. Appl. M. Saravanan, S. Raman, Balaraman Ravindran
2006	C	`conf`	Improving Legal Document Summarization Using Graphical Models. JURIX M. Saravanan, Balaraman Ravindran, S. Raman
2005	Misc	`conf`	Placement and Routing for 3D-FPGAs Using Reinforcement Learning and Support Vector Machines. VLSI Design R. Manimegalai, E. Siva Soumya, Vaishnavi Muralidharan, Balaraman Ravindran, V. Kamakoti, Dinesh Bhatia
2003	A*	`conf`	Relativized Options: Choosing the Right Transformation. ICML Balaraman Ravindran, Andrew G. Barto
2003	A*	`conf`	SMDP Homomorphisms: An Algebraic Approach to Abstraction in Semi-Markov Decision Processes. IJCAI Balaraman Ravindran, Andrew G. Barto
2002	—	`conf`	Model Minimization in Hierarchical Reinforcement Learning. SARA Balaraman Ravindran, Andrew G. Barto
1998	—	`conf`	Improved Switching among Temporally Abstract Actions. NIPS Richard S. Sutton, Satinder Singh, Doina Precup, Balaraman Ravindran