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Srinivasan, Krishnan

  1. On the Opportunities and Risks of Foundation Models
    2021/08/16 by Rishi Bommasani, Drew A. Hudson, Bommasani, Rishi +233 · 11 voices · 547 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Topic Modeling
  2. Open X-Embodiment: Robotic Learning Datasets and RT-X Models
    2023/10/13 by Embodiment Collaboration, O'Neill, Abby, Rehman, Abdul +349 · 175 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
  3. Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal\n Representations for Contact-Rich Tasks
    2018/10/24 by Michelle A. Lee, Lee, Michelle A., Yuke Zhu +12 · 19 citations
    Computer Science · Engineering · Neuroscience · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO) #Tactile and Sensory Interactions
  4. Making Sense of Vision and Touch: Learning Multimodal Representations\n for Contact-Rich Tasks
    2019/07/27 by Michelle A. Lee, Lee, Michelle A., Yuke Zhu +14 · 16 citations
    Engineering · Computer Science · Neuroscience · #Robot Manipulation and Learning #Reinforcement Learning in Robotics #Tactile and Sensory Interactions
  5. Graph-based Neural Multi-Document Summarization
    2017/06/20 by Michihiro Yasunaga, Rui Zhang, Yasunaga, Michihiro +9 · 10 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Topic Modeling #Natural Language Processing Techniques #Biomedical Text Mining and Ontologies
  6. Learning to be Safe: Deep RL with a Safety Critic
    2020/10/27 by Krishnan Srinivasan, Benjamin Eysenbach, Srinivasan, Krishnan +7 · 9 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
  7. A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation
    2025/07/07 by TRI LBM Team, Jose Barreiros, Barreiros, Jose +151 · 50 citations
    Engineering · Computer Science · #Robot Manipulation and Learning #Reinforcement Learning in Robotics #Multimodal Machine Learning Applications
  8. Controlling Assistive Robots with Learned Latent Actions
    2019/09/20 by Losey, Dylan P., Srinivasan, Krishnan, Mandlekar, Ajay +2 · 2 citations
    #FOS: Computer and information sciences #Robotics (cs.RO)
  9. Get a Grip: Multi-Finger Grasp Evaluation at Scale Enables Robust Sim-to-Real Transfer
    2024/10/31 by Tyler Ga Wei Lum, Albert H. Li, Lum, Tyler Ga Wei +11 · 5 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO) #Software Testing and Debugging Techniques
  10. Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation
    2024/05/28 by Georgiev, Ignat, Srinivasan, Krishnan, Xu, Jie +2 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)