George, Dileep

14 publications

ICML 2024 Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments Antoine Dedieu, Wolfgang Lehrach, Guangyao Zhou, Dileep George, Miguel Lazaro-Gredilla

MLOSS 2024 PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX Guangyao Zhou, Antoine Dedieu, Nishanth Kumar, Wolfgang Lehrach, Shrinu Kushagra, Dileep George, Miguel Lázaro-Gredilla

NeurIPS 2024 What Type of Inference Is Planning? Miguel Lázaro-Gredilla, Li Yang Ku, Kevin P. Murphy, Dileep George

ICCV 2023 3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6d Pose Estimation Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka

ICML 2023 Learning Noisy or Bayesian Networks with Max-Product Belief Propagation Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lazaro-Gredilla

NeurIPS 2023 Schema-Learning and Rebinding as Mechanisms of In-Context Learning and Emergence Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lazaro-Gredilla, Dileep George

NeurIPS 2021 Perturb-and-Max-Product: Sampling and Learning in Discrete Energy-Based Models Miguel Lazaro-Gredilla, Antoine Dedieu, Dileep George

AAAI 2021 Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George

AAAI 2021 Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George

AAAI 2018 Behavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies Nicholas Hay, Michael Stark, Alexander Schlegel, Carter Wendelken, Dennis Park, Eric Purdy, Tom Silver, D. Scott Phoenix, Dileep George

ICML 2017 Schema Networks: Zero-Shot Transfer with a Generative Causal Model of Intuitive Physics Ken Kansky, Tom Silver, David A. Mély, Mohamed Eldawy, Miguel Lázaro-Gredilla, Xinghua Lou, Nimrod Dorfman, Szymon Sidor, Scott Phoenix, Dileep George

CVPR 2017 Teaching Compositionality to CNNs Austin Stone, Huayan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George

NeurIPS 2016 Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data Xinghua Lou, Ken Kansky, Wolfgang Lehrach, Cc Laan, Bhaskara Marthi, D. Phoenix, Dileep George

ICML 2003 Robust Induction of Process Models from Time-Series Data Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito