Dileep George - RankMe

53 papers A* 14B 4Journal 33Unranked 2

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