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George, Dileep

  1. Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics
    2017/06/14 by Ken Kansky, Kansky, Ken, Tom Silver +17 · 22 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Reinforcement Learning in Robotics #cs.AI
  2. Schema-learning and rebinding as mechanisms of in-context learning and emergence
    2023/06/16 by Sivaramakrishnan Swaminathan, Swaminathan, Sivaramakrishnan, Antoine Dedieu +9 · 1 voice · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #cs.AI #cs.CL
  3. Teaching Compositionality to CNNs
    2017/06/14 by Austin Stone, Stone, Austin, Huayan Wang +9 · 3 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CV #cs.LG
  4. Neuroscience needs Network Science
    2023/05/10 by Barabási, Dániel L, Bianconi, Ginestra, Bullmore, Ed +17 · 4 citations
    #FOS: Biological sciences #Neurons and Cognition (q-bio.NC)
  5. Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs
    2018/12/06 by Miguel Lázaro-Gredilla, Dianhuan Lin, Lázaro-Gredilla, Miguel +5 · 2 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robot Manipulation and Learning
  6. Learning higher-order sequential structure with cloned HMMs
    2019/05/01 by Antoine Dedieu, Nishad Gothoskar, Dedieu, Antoine +9 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling
  7. 3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation
    2023/02/07 by Guangyao Zhou, Zhou, Guangyao, Nishad Gothoskar +13 · 2 citations
    Computer Science · Engineering · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Robotics and Sensor-Based Localization
  8. Hierarchical compositional feature learning
    2016/11/07 by Miguel Lázaro-Gredilla, Lázaro-Gredilla, Miguel, Yi Liu +5 · 2 citations
    Computer Science · Mathematics · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.AI #cs.LG #stat.ML
  9. Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments
    2024/01/11 by Antoine Dedieu, Wolfgang Lehrach, Dedieu, Antoine +7 · 2 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Cognitive Computing and Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics and Automated Systems
  10. Graph schemas as abstractions for transfer learning, inference, and planning
    2023/02/14 by J. Swaroop Guntupalli, Guntupalli, J. Swaroop, Rajkumar Vasudeva Raju +15 · 1 voice · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #cs.AI #cs.LG #q-bio.NC
  11. Perturb-and-max-product: Sampling and learning in discrete energy-based\n models
    2021/11/03 by Miguel Lázaro-Gredilla, Lazaro-Gredilla, Miguel, Antoine Dedieu +3 · 1 citation
    Mathematics · Physics and Astronomy · #Markov Chains and Monte Carlo Methods #Theoretical and Computational Physics #Quantum many-body systems
  12. Fast exploration and learning of latent graphs with aliased observations
    2023/03/13 by Miguel Lázaro-Gredilla, Lazaro-Gredilla, Miguel, Ishan Deshpande +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms