Dileep George

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 41

Top Topics

Graphical Models

Hidden Variables

Belief Propagation

Top Venues

Publications

Antoine Dedieu, Wolfgang Lehrach, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla
Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments. CoRR (2024)
Miguel Lázaro-Gredilla, Li Yang Ku, Kevin P. Murphy, Dileep George
What type of inference is planning? CoRR (2024)
Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla
Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation. CoRR (2023)
Miguel Lázaro-Gredilla, Ishan Deshpande, Sivaramakrishnan Swaminathan, Meet Dave, Dileep George
Fast exploration and learning of latent graphs with aliased observations. CoRR (2023)
Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lázaro-Gredilla, Dileep George
Schema-learning and rebinding as mechanisms of in-context learning and emergence. CoRR (2023)
Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka
3D Neural Embedding Likelihood for Robust Sim-to-Real Transfer in Inverse Graphics. CoRR (2023)
Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation. ICCV (2023)
J. Swaroop Guntupalli, Rajkumar Vasudeva Raju, Shrinu Kushagra, Carter Wendelken, Danny Sawyer, Ishan Deshpande, Guangyao Zhou, Miguel Lázaro-Gredilla, Dileep George
Graph schemas as abstractions for transfer learning, inference, and planning. CoRR (2023)
Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla
Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation. ICML (2023)
Ken Kansky, Skanda Vaidyanath, Scott Swingle, Xinghua Lou, Miguel Lázaro-Gredilla, Dileep George
PushWorld: A benchmark for manipulation planning with tools and movable obstacles. CoRR (2023)
Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lázaro-Gredilla, Dileep George
Schema-learning and rebinding as mechanisms of in-context learning and emergence. NeurIPS (2023)
Nishad Gothoskar, Miguel Lázaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George
DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model. ICRA (2022)
Guangyao Zhou, Nishanth Kumar, Miguel Lázaro-Gredilla, Shrinu Kushagra, Dileep George
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX. CoRR (2022)
Nishad Gothoskar, Miguel Lázaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George
DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model. CoRR (2022)
Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George
Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models. AAAI (2021)
Guangyao Zhou, Wolfgang Lehrach, Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George
Graphical Models with Attention for Context-Specific Independence and an Application to Perceptual Grouping. CoRR (2021)
Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George
Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables. AAAI (2021)
Miguel Lázaro-Gredilla, Antoine Dedieu, Dileep George
Perturb-and-max-product: Sampling and learning in discrete energy-based models. NeurIPS (2021)
Miguel Lázaro-Gredilla, Antoine Dedieu, Dileep George
Perturb-and-max-product: Sampling and learning in discrete energy-based models. CoRR (2021)
Nishad Gothoskar, Miguel Lázaro-Gredilla, Abhishek Agarwal, Yasemin Bekiroglu, Dileep George
Learning a generative model for robot control using visual feedback. CoRR (2020)
Daniel P. Sawyer, Miguel Lázaro-Gredilla, Dileep George
A Model of Fast Concept Inference with Object-Factorized Cognitive Programs. CogSci (2020)
Nishad Gothoskar, Miguel Lázaro-Gredilla, Dileep George
From proprioception to long-horizon planning in novel environments: A hierarchical RL model. CoRR (2020)
Dileep George, Miguel Lázaro-Gredilla, J. Swaroop Guntupalli
From CAPTCHA to Commonsense: How Brain Can Teach Us About Artificial Intelligence. Frontiers Comput. Neurosci. 14 (2020)
Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George
Sample-efficient L0-L2 constrained structure learning of sparse Ising models. CoRR (2020)
Daniel P. Sawyer, Miguel Lázaro-Gredilla, Dileep George
A Model of Fast Concept Inference with Object-Factorized Cognitive Programs. CoRR (2020)
Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George
Query Training: Learning and inference for directed and undirected graphical models. CoRR (2020)
Dileep George
What can the brain teach us about building artificial intelligence? CoRR (2019)
Dianhuan Lin, J. Swaroop Guntupalli, Dileep George
Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs. Sci. Robotics 4 (26) (2019)
Miguel Lázaro-Gredilla, Wolfgang Lehrach, Dileep George
Learning undirected models via query training. CoRR (2019)
Antoine Dedieu, Nishad Gothoskar, Scott Swingle, Wolfgang Lehrach, Miguel Lázaro-Gredilla, Dileep George
Learning higher-order sequential structure with cloned HMMs. CoRR (2019)
Dileep George, Alexander Lavin, J. Swaroop Guntupalli, David A. Mély, Nick Hay, Miguel Lázaro-Gredilla
Cortical Microcircuits from a Generative Vision Model. CoRR (2018)
Miguel Lázaro-Gredilla, Dianhuan Lin, J. Swaroop Guntupalli, Dileep George
Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs. CoRR (2018)
Nicholas Hay, Michael Stark, Alexander Schlegel, Carter Wendelken, Dennis Park, Eric Purdy, Tom Silver, D. Scott Phoenix, Dileep George
Behavior Is Everything: Towards Representing Concepts with Sensorimotor Contingencies. AAAI (2018)
Austin Stone, Hua-Yan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George
Teaching Compositionality to CNNs. CVPR (2017)
Ken Kansky, Tom Silver, David A. Mély, Mohamed Eldawy, Miguel Lázaro-Gredilla, Xinghua Lou, Nimrod Dorfman, Szymon Sidor, D. Scott Phoenix, Dileep George
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics. ICML (2017)
Ken Kansky, Tom Silver, David A. Mély, Mohamed Eldawy, Miguel Lázaro-Gredilla, Xinghua Lou, Nimrod Dorfman, Szymon Sidor, D. Scott Phoenix, Dileep George
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics. CoRR (2017)
Austin Stone, Hua-Yan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George
Teaching Compositionality to CNNs. CoRR (2017)
Hua-Yan Wang, Anna Chen, Yi Liu, Dileep George, D. Scott Phoenix
A backward pass through a CNN using a generative model of its activations. CoRR (2016)
Xinghua Lou, Ken Kansky, Wolfgang Lehrach, C. C. Laan, Bhaskara Marthi, D. Scott Phoenix, Dileep George
Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data. NIPS (2016)
Xinghua Lou, Ken Kansky, Wolfgang Lehrach, C. C. Laan, Bhaskara Marthi, D. Scott Phoenix, Dileep George
Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data. CoRR (2016)
Miguel Lázaro-Gredilla, Yi Liu, D. Scott Phoenix, Dileep George
Hierarchical compositional feature learning. CoRR (2016)
Stuart J. Russell, Tom Dietterich, Eric Horvitz, Bart Selman, Francesca Rossi, Demis Hassabis, Shane Legg, Mustafa Suleyman, Dileep George, D. Scott Phoenix
Letter to the Editor: Research Priorities for Robust and Beneficial Artificial Intelligence: An Open Letter. AI Mag. 36 (4) (2015)
Dileep George
How to make computers that work like the brain. DAC (2009)
Dileep George, Jeff Hawkins
Towards a Mathematical Theory of Cortical Micro-circuits. PLoS Comput. Biol. 5 (10) (2009)
Dileep George
Hierarchical Temporal Memory: Theory and Applications. EMBC (Supplement) (2006)
Dileep George, Friedrich T. Sommer
Computing with inter-spike interval codes in networks of integrate and fire neurons. Neurocomputing (2005)
Kazumi Saito, Dileep George, Stephen D. Bay, Jeff Shrager
Inducing Biological Models from Temporal Gene Expression Data. Discovery Science (2003)
Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito
Robust Induction of Process Models from Time-Series Data. ICML (2003)
Dileep George, Kazumi Saito, Pat Langley, Stephen D. Bay, Kevin R. Arrigo
Discovering Ecosystem Models from Time-Series Data. Discovery Science (2003)