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Ravindran, Balaraman

  1. EPOpt: Learning Robust Neural Network Policies Using Model Ensembles
    2016/10/05 by Aravind Rajeswaran, Rajeswaran, Aravind, Sarvjeet Ghotra +5 · 33 citations
    Computer Science · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning
  2. International AI Safety Report
    2025/01/29 by Yoshua Bengio, Bengio, Yoshua, Sören Mindermann +180 · 19 citations
    Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG)
  3. Learning to Repeat: Fine Grained Action Repetition for Deep\n Reinforcement Learning
    2017/02/20 by Sahil Sharma, Sharma, Sahil, Balaraman Ravindran +3 · 6 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
  4. EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks
    2020/04/21 by Sanchari Sen, Balaraman Ravindran, Sen, Sanchari +3 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Bacillus and Francisella bacterial research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Nuclear Materials and Properties
  5. Physics-Informed Model-Based Reinforcement Learning
    2022/12/05 by Ramesh, Adithya, Ravindran, Balaraman · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  6. Diversity driven Attention Model for Query-based Abstractive Summarization
    2017/04/26 by Nema, Preksha, Khapra, Mitesh, Laha, Anirban +1 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  7. Successor Options: An Option Discovery Framework for Reinforcement\n Learning
    2019/05/14 by R. Ramesh, Manan Tomar, Ramesh, Rahul +3 · 2 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Auction Theory and Applications
  8. MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning
    2023/04/12 by Aravind Venugopal, Stephanie Milani, Venugopal, Aravind +5 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics #Topic Modeling
  9. Correlational Neural Networks
    2015/04/27 by Sarath Chandar, Chandar, Sarath, Mitesh M. Khapra +5 · 2 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Natural Language Processing Techniques #Neural and Evolutionary Computing (cs.NE) #Topic Modeling
  10. Language Models can Subtly Deceive Without Lying: A Case Study on Strategic Phrasing in Legislation
    2024/05/07 by Atharvan Dogra, Dogra, Atharvan, Ameet Deshpande +11 · 4 citations
    Computer Science · Social Sciences · #Computation and Language (cs.CL) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Law, AI, and Intellectual Property
  11. An Autoencoder Approach to Learning Bilingual Word Representations
    2014/02/06 by P, Sarath Chandar A, Lauly, Stanislas, Larochelle, Hugo +4 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning
    2015/10/13 by Rajendran, Janarthanan, Khapra, Mitesh M., Chandar, Sarath +1 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  13. Dynamic Frame skip Deep Q Network
    2016/05/17 by Srinivas, Aravind, Sharma, Sahil, Ravindran, Balaraman · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  14. Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering
    2016/05/17 by Srinivas, Aravind, Ramnandan Krishnamurthy, Krishnamurthy, Ramnandan +4 · 1 citation
    Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
  15. Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning
    2017/05/20 by Sharma, Sahil, Suresh, Aravind, Ramesh, Rahul +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. ExTra: Transfer-guided Exploration
    2019/06/27 by Anirban Santara, Rishabh Madan, Santara, Anirban +5 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Reinforcement Learning in Robotics
  17. Towards Transparent and Explainable Attention Models
    2020/04/29 by Mohankumar, Akash Kumar, Nema, Preksha, Narasimhan, Sharan +3 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  18. Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains
    2020/06/07 by Sultana, Nazneen N, Meisheri, Hardik, Baniwal, Vinita +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA)
  19. Language Expansion In Text-Based Games
    2018/05/17 by Ghulam Ahmed Ansari, Ansari, Ghulam Ahmed, Sagar J. P +5 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Reinforcement Learning in Robotics #Topic Modeling
  20. Participatory Approaches in AI Development and Governance: A Principled Approach
    2024/06/03 by Ambreesh Parthasarathy, Parthasarathy, Ambreesh, Aditya Phalnikar +9 · 2 citations
    Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences
  21. Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain
    2015/10/10 by Rajendran, Janarthanan, Srinivas, Aravind, Khapra, Mitesh M. +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. Semi-Supervised Deep Learning for Multiplex Networks
    2021/10/05 by Mitra, Anasua, Vijayan, Priyesh, Sanasam, Ranbir +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. A Survey of Adversarial Defences and Robustness in NLP
    2022/03/12 by Goyal, Shreya, Doddapaneni, Sumanth, Khapra, Mitesh M. +1 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  24. LExT: Towards Evaluating Trustworthiness of Natural Language Explanations
    2025/04/08 by Shailya, Krithi, Rajpal, Shreya, Krishnan, Gokul S +1 · 4 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  25. Hypergraph Clustering: A Modularity Maximization Approach
    2018/12/28 by Tarun Kumar, Sankaran Vaidyanathan, Kumar, Tarun +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Advanced Clustering Algorithms Research #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  26. International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications
    2025/10/15 by Yoshua Bengio, Bengio, Yoshua, Stephen Clare +134 · 1 citation
    Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences