Balaraman Ravindran
机构: Professor of Computer Science, Indian Institute of Technology Madras
主页: iitm.ac.in
每年引用次数
引用次数
引用: 6,576
H-指数: 45
I10-指数 : 115
出版物: 347
Scalable Bayesian Matrix Factorization.
Avijit Saha , Rishabh Misra , Balaraman Ravindran
MUSE@ PKDD/ECML 43 -54
1
2015
Utility Driven Clustering
Prabakararaj Swapna Raj , Balaraman Ravindran
Twenty-Fourth International FLAIRS Conference
1
2011
Transfer Learning with Differently-abled Robots
Lakshmanan Balaji , Balaraman Ravindran
the IROS Workshop on Robotics Challenges for Machine Learning
1
2008
Hierarchical Reinforcement Learning using Spatio-Temporal Abstractions and Deep Neural Networks
Balaraman Ravindran , IITM AC , RISE IIL ,
1
Deception in Reinforced Autonomous Agents: The Unconventional Rabbit Hat Trick in Legislation
Atharvan Dogra , Ameet Deshpande , John Nay , Tanmay Rajpurohit
arXiv preprint arXiv:2405.04325
2024
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning
Aravind Venugopal , Stephanie Milani , Fei Fang , Balaraman Ravindran
1865 -1873
2024
Generalized Bags for Learning from Label Proportions
Rishi Saket , Aravindan Raghuveer , Balaraman Ravindran
2024
Cost-Sensitive Trees for Interpretable Reinforcement Learning
Siddharth Nishtala , Balaraman Ravindran
91 -99
2024
Oscillatory Network and Deep Value Network Based Memory Replay Model of Hippocampus
Tamizharasan Kanagamani , Madhuvanthi Muliya , V Srinivasa Chakravarthy , Balaraman Ravindran
Springer Nature Switzerland 117 -127
2023
PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks
Saket Gurukar , Shaileshh Bojja Venkatakrishnan , Balaraman Ravindran , Srinivasan Parthasarathy
245 -252
2023
A SIMILARITY-AGNOSTIC REINFORCEMENT LEARNING APPROACH FOR LEAD OPTIMIZATION
Abhor Gupta , Sean Current , Balaraman Ravindran , Rohit Batra
2023
CIAMS: clustering indices-based automatic classification model selection
Sudarsun Santhiappan , Nitin Shravan , Balaraman Ravindran
International Journal of Data Science and Analytics 1 -23
2023
Systematic literature review–unpacking values. How values change over time and link with personality traits and behaviours
Sameer Mehta , Rahul R Marathe , Balaraman Ravindran , Rofia Ramesh
Journal of Beliefs & Values 1 -14
2023
Active Learning with Human Heuristics: An Algorithm Robust to Labelling Bias
Sriram Ravichandran , Nandan Sudarsanam , Konstantinos Katsikopoulos , Balaraman Ravindran
Third Conference on Deployable AI
2023
Continuous Tactical Optimism and Pessimism
Kartik Bharadwaj , Balaraman Ravindran
Third Conference on Deployable AI
2023
GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts
Returaj Burnwal , Anirban Santara , Nirav P Bhatt , Balaraman Ravindran
arXiv preprint arXiv:2305.19111
2023
Clustering Indices based Automatic Classification Model Selection
Sudarsun Santhiappan , Nitin Shravan , Balaraman Ravindran
arXiv preprint arXiv:2305.13926
2023
Lagrangian Model Based Reinforcement Learning
Adithya Ramesh , Balaraman Ravindran
Deep Reinforcement Learning Workshop NeurIPS 2022
2022
TOMBoost: a topic modeling based boosting approach for learning with class imbalance
Sudarsun Santhiappan , Jeshuren Chelladurai , Balaraman Ravindran
International Journal of Data Science and Analytics 1 -21
2022
Memory Consolidation with Orthogonal Gradients for avoiding Catastrophic Forgetting
Tamizharasan Kanagamani , Rupak Krishnamurthy , V Srinivasa Chakravarthy , Balaraman Ravindran
bioRxiv 2022.02. 25.481890 -2022.02. 25.481890
2022
Mitesh Khapra Srinivasan Parthasarathy Sarath Chandar V Srinivasa Chakravarthy Sahil Sharma K Madhava Krishna Vikas C. Raykar Nandan Sudarsanam Andrew Barto Amrita Saha Aravind Srinivas Hugo Larochelle Pragathi Priyadharsini Balasubramani Ahmed Moustafa Karthik V Aadithya Nick Jennings Shivashankar Subramanian Milind Tambe Saket Gurukar Preksha Nema