Balaraman Ravindran
Orcid: 0000-0002-5364-7639Affiliations:
- Indian Institute of Technology Madras
According to our database1,
Balaraman Ravindran
authored at least 222 papers
between 1998 and 2024.
Collaborative distances:
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Bibliography
2024
InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain?
CoRR, 2024
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024
A Learning Approach for Discovering Cost-Efficient Integrated Sourcing and Routing Strategies in E-Commerce.
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024
2023
RePReL: a unified framework for integrating relational planning and reinforcement learning for effective abstraction in discrete and continuous domains.
Neural Comput. Appl., August, 2023
MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication.
PLoS Comput. Biol., 2023
LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networks.
CoRR, 2023
CoRR, 2023
GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts.
CoRR, 2023
Bi-level Latent Variable Model for Sample-Efficient Multi-Agent Reinforcement Learning.
CoRR, 2023
Proceedings of the Pattern Recognition and Machine Intelligence, 2023
Proceedings of the Learning for Dynamics and Control Conference, 2023
Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023
2022
Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress.
Trans. Mach. Learn. Res., 2022
Scalable multi-product inventory control with lead time constraints using reinforcement learning.
Neural Comput. Appl., 2022
Frontiers Artif. Intell., 2022
CoRR, 2022
CoRR, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Hybrid Deep RePReL: Integrating Relational Planning and Reinforcement Learning for Information Fusion.
Proceedings of the 25th International Conference on Information Fusion, 2022
Detecting Vehicles on the Edge: Knowledge Distillation to Improve Performance in Heterogeneous Road Traffic.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022
Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022
Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022
Proceedings of the Conference on Lifelong Learning Agents, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Frontiers Virtual Real., 2021
CoRR, 2021
Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes.
CoRR, 2021
qRRT: Quality-Biased Incremental RRT for Optimal Motion Planning in Non-Holonomic Systems.
CoRR, 2021
Neural Fitted Q Iteration based Optimal Bidding Strategy in Real Time Reactive Power Market_1.
CoRR, 2021
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021
RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021
Proceedings of the Asian Conference on Machine Learning, 2021
Proceedings of the Asian Conference on Machine Learning, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
ACM Trans. Embed. Comput. Syst., 2020
Empir. Softw. Eng., 2020
A Causal Linear Model to Quantify Edge Unfairness for Unfair Edge Prioritization and Discrimination Removal.
CoRR, 2020
Missed calls, Automated Calls and Health Support: Using AI to improve maternal health outcomes by increasing program engagement.
CoRR, 2020
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains.
CoRR, 2020
CoRR, 2020
Appl. Netw. Sci., 2020
Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020
A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Towards Accurate Vehicle Behaviour Classification With Multi-Relational Graph Convolutional Networks.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks.
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Mach. Vis. Appl., 2019
Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems.
CoRR, 2019
CoRR, 2019
CoRR, 2019
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the Complex Networks and Their Applications VIII, 2019
A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering.
Proceedings of the Complex Networks and Their Applications VIII, 2019
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Improved Insights on Financial Health through Partially Constrained Hidden Markov Model Clustering on Loan Repayment Data.
Data Base, 2018
CoRR, 2018
CoRR, 2018
Using Linear Stochastic Bandits to extend traditional offline Designed Experiments to online settings.
Comput. Ind. Eng., 2018
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 25th IEEE International Conference on High Performance Computing, 2018
A Partial Parameter HMM Based Clustering on Loan Repayment Data: Insights into Financial Behavior and Intent to Repay.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018
Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data.
Proceedings of the 10th International Conference on Communication Systems & Networks, 2018
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning.
CoRR, 2017
Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning.
CoRR, 2017
Proceedings of the Computer Vision, Pattern Recognition, Image Processing, and Graphics, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain.
Proceedings of the 5th International Conference on Learning Representations, 2017
Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
Proceedings of the 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, 2017
Data Driven Strategies for Active Monocular SLAM using Inverse Reinforcement Learning.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017
MCEIL: An Improved Scoring Function for Overlapping Community Detection using Seed Expansion Methods.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
CoRR, 2016
Hierarchical Reinforcement Learning using Spatio-Temporal Abstractions and Deep Neural Networks.
CoRR, 2016
CoRR, 2016
Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning.
Proceedings of the NAACL HLT 2016, 2016
Proceedings of the 2nd International Workshop on Social Influence Analysis co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 2016
Trust and Distrust Across Coalitions: Shapley Value Based Centrality Measures for Signed Networks (Student Abstract Version).
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Pers. Ubiquitous Comput., 2015
A network model of basal ganglia for understanding the roles of dopamine and serotonin in reward-punishment-risk based decision making.
Frontiers Comput. Neurosci., 2015
CoRR, 2015
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015
Proceedings of the 6th International Workshop on Mining Ubiquitous and Social Environments (MUSE 2015) co-located with the 26th European Conference on Machine Learning / 19th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), 2015
Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
CEIL: A Scalable, Resolution Limit Free Approach for Detecting Communities in Large Networks.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015
Proceedings of the Second ACM IKDD Conference on Data Sciences, 2015
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015
2014
An extended reinforcement learning model of basal ganglia to understand the contributions of serotonin and dopamine in risk-based decision making, reward prediction, and punishment learning.
Frontiers Comput. Neurosci., 2014
Proceedings of the Social Robotics - 6th International Conference, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014
Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014
Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014
Multi-label collective classification in multi-attribute multi-relational network data.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014
2013
J. Artif. Intell. Res., 2013
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking, and Services, 2013
iCaseViz: Learning Case Similarities through Interaction with a Case Base Visualizer.
Proceedings of the Case-Based Reasoning Research and Development, 2013
Determining Review Coverage by Extracting Topic Sentences Using A Graph-based Clustering Approach.
Proceedings of the 6th International Conference on Educational Data Mining, 2013
Proceedings of the 1st workshop on User engagement optimization, 2013
Proceedings of the 4th international workshop on Web-scale knowledge representation retrieval and reasoning, 2013
2012
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012
Proceedings of the From Animals to Animats 12, 2012
Towards Analyzing Micro-Blogs for Detection and Classification of Real-Time Intentions.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012
Proceedings of the IEEE International Conference on Robotics and Automation, 2012
Proceedings of the Case-Based Reasoning Research and Development, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012
Proceedings of the Fourth International Conference on Communication Systems and Networks, 2012
Functional site prediction by exploiting correlations between labels of interacting residues.
Proceedings of the ACM International Conference on Bioinformatics, 2012
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012
2011
Neural Comput., 2011
Multi-view methods for protein structure comparison using latent dirichlet allocation.
Bioinform., 2011
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011
A system approach to network modeling for DDoS detection using a Naìve Bayesian classifier.
Proceedings of the Third International Conference on Communication Systems and Networks, 2011
2010
Identification of Rhetorical Roles for Segmentation and Summarization of a Legal Judgment.
Artif. Intell. Law, 2010
Proceedings of the Internet and Network Economics - 6th International Workshop, 2010
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
Proceedings of the Artificial Neural Networks, 2010
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010
Proceedings of the ECAI 2010, 2010
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010
2009
Artif. Intell. Law, 2009
Proceedings of the 15th International Conference on Management of Data, 2009
Proceedings of the IEEE Conference on Automation Science and Engineering, 2009
2008
Proceedings of the Second Workshop on Analytics for Noisy Unstructured Text Data, 2008
Automatic Identification of Rhetorical Roles using Conditional Random Fields for Legal Document Summarization.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008
Proceedings of the Machine Learning, 2008
Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Co-SOFT-Clustering: An Information Theoretic Approach to Obtain Overlapping Clusters from Co-Occurrence Data.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008
Proceedings of the 1st Bangalore Annual Compute Conference, Compute 2008, 2008
Proceedings of the 14th International Conference on Management of Data, 2008
2007
Proceedings of the Abstraction, 2007
Proceedings of the Legal Knowledge and Information Systems, 2007
Proceedings of the IJCAI 2007, 2007
Proceedings of the IJCAI 2007, 2007
Intelligent Tutoring Systems using Reinforcement Learning to teach Autistic Students.
Proceedings of the Home Informatics and Telematics: ICT for The Next Billion, 2007
Proceedings of the Second International Conference on COMmunication System softWAre and MiddlewaRE (COMSWARE 2007), 2007
2006
A Probabilistic Approach to Multi-Document Summarization for Generating a Tiled Summary.
Int. J. Comput. Intell. Appl., 2006
Proceedings of the Legal Knowledge and Information Systems, 2006
A Hierarchical Approach to Landform Classification of Satellite Images Using a Fusion Strategy.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006
2005
Placement and Routing for 3D-FPGAs Using Reinforcement Learning and Support Vector Machines.
Proceedings of the 18th International Conference on VLSI Design (VLSI Design 2005), 2005
2003
SMDP Homomorphisms: An Algebraic Approach to Abstraction in Semi-Markov Decision Processes.
Proceedings of the IJCAI-03, 2003
Proceedings of the Machine Learning, 2003
2002
Proceedings of the Abstraction, 2002
1998
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998