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ORCIDDileep George
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Journal Articles
- 2020
[j5]Dileep George, Miguel Lázaro-Gredilla, J. Swaroop Guntupalli:
From CAPTCHA to Commonsense: How Brain Can Teach Us About Artificial Intelligence. Frontiers Comput. Neurosci. 14: 554097 (2020)- 2019
- [j4]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) - 2015
- [j3]Stuart 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): 3-4 (2015) - 2009
- [j2]Dileep George, Jeff Hawkins:
Towards a Mathematical Theory of Cortical Micro-circuits. PLoS Comput. Biol. 5(10) (2009) - 2005
- [j1]Dileep George, Friedrich T. Sommer:
Computing with inter-spike interval codes in networks of integrate and fire neurons. Neurocomputing 65-66: 415-420 (2005)
Conference and Workshop Papers
- 2024
- [c18]Antoine Dedieu, Wolfgang Lehrach, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla:
Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments. ICML 2024 - 2023
- [c17]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: 21568-21579 - [c16]Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla:
Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation. ICML 2023: 7426-7448 - [c15]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 - 2022
- [c14]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: 6674-6680 - 2021
- [c13]Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George:
Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models. AAAI 2021: 7193-7200 - [c12]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: 8252-8260 - [c11]Miguel Lázaro-Gredilla, Antoine Dedieu, Dileep George:
Perturb-and-max-product: Sampling and learning in discrete energy-based models. NeurIPS 2021: 928-940 - 2020
- [c10]Daniel P. Sawyer, Miguel Lázaro-Gredilla, Dileep George:
A Model of Fast Concept Inference with Object-Factorized Cognitive Programs. CogSci 2020 - 2018
- [c9]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: 1861-1870 - 2017
- [c8]Austin Stone, Hua-Yan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George:
Teaching Compositionality to CNNs. CVPR 2017: 732-741 - [c7]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: 1809-1818 - 2016
- [c6]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: 2793-2801 - 2009
- [c5]Dileep George:
How to make computers that work like the brain. DAC 2009: 420-423 - 2006
- [c4]Dileep George:
Hierarchical Temporal Memory: Theory and Applications. EMBC (Supplement) 2006: 6643 - 2003
- [c3]Dileep George, Kazumi Saito, Pat Langley, Stephen D. Bay, Kevin R. Arrigo:
Discovering Ecosystem Models from Time-Series Data. Discovery Science 2003: 141-152 - [c2]Kazumi Saito, Dileep George, Stephen D. Bay, Jeff Shrager:
Inducing Biological Models from Temporal Gene Expression Data. Discovery Science 2003: 468-469 - [c1]Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito:
Robust Induction of Process Models from Time-Series Data. ICML 2003: 432-439
Informal and Other Publications
- 2024
- [i27]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 abs/2401.05946 (2024) - [i26]Miguel Lázaro-Gredilla, Li Yang Ku, Kevin P. Murphy, Dileep George:
What type of inference is planning? CoRR abs/2406.17863 (2024) - 2023
- [i25]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 abs/2301.10289 (2023) - [i24]Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla:
Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation. CoRR abs/2302.00099 (2023) - [i23]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 abs/2302.03744 (2023) - [i22]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 abs/2302.07350 (2023) - [i21]Miguel Lázaro-Gredilla, Ishan Deshpande, Sivaramakrishnan Swaminathan, Meet Dave, Dileep George:
Fast exploration and learning of latent graphs with aliased observations. CoRR abs/2303.07397 (2023) - [i20]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 abs/2307.01201 (2023) - 2022
- [i19]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 abs/2202.03697 (2022) - [i18]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 abs/2202.04110 (2022) - 2021
- [i17]Miguel Lázaro-Gredilla, Antoine Dedieu, Dileep George:
Perturb-and-max-product: Sampling and learning in discrete energy-based models. CoRR abs/2111.02458 (2021) - [i16]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 abs/2112.03371 (2021) - 2020
- [i15]Daniel P. Sawyer, Miguel Lázaro-Gredilla, Dileep George:
A Model of Fast Concept Inference with Object-Factorized Cognitive Programs. CoRR abs/2002.04021 (2020) - [i14]Nishad Gothoskar, Miguel Lázaro-Gredilla, Abhishek Agarwal, Yasemin Bekiroglu, Dileep George:
Learning a generative model for robot control using visual feedback. CoRR abs/2003.04474 (2020) - [i13]Nishad Gothoskar, Miguel Lázaro-Gredilla, Dileep George:
From proprioception to long-horizon planning in novel environments: A hierarchical RL model. CoRR abs/2006.06620 (2020) - [i12]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 abs/2006.06803 (2020) - [i11]Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George:
Sample-efficient L0-L2 constrained structure learning of sparse Ising models. CoRR abs/2012.01744 (2020) - 2019
- [i10]Antoine Dedieu, Nishad Gothoskar, Scott Swingle, Wolfgang Lehrach, Miguel Lázaro-Gredilla, Dileep George:
Learning higher-order sequential structure with cloned HMMs. CoRR abs/1905.00507 (2019) - [i9]Dileep George:
What can the brain teach us about building artificial intelligence? CoRR abs/1909.01561 (2019) - [i8]Miguel Lázaro-Gredilla, Wolfgang Lehrach, Dileep George:
Learning undirected models via query training. CoRR abs/1912.02893 (2019) - 2018
- [i7]Dileep George, Alexander Lavin, J. Swaroop Guntupalli, David A. Mély, Nick Hay, Miguel Lázaro-Gredilla:
Cortical Microcircuits from a Generative Vision Model. CoRR abs/1808.01058 (2018) - [i6]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 abs/1812.02788 (2018) - 2017
- [i5]Austin Stone, Hua-Yan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George:
Teaching Compositionality to CNNs. CoRR abs/1706.04313 (2017) - [i4]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 abs/1706.04317 (2017) - 2016
- [i3]Miguel Lázaro-Gredilla, Yi Liu, D. Scott Phoenix, Dileep George:
Hierarchical compositional feature learning. CoRR abs/1611.02252 (2016) - [i2]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 abs/1611.02767 (2016) - [i1]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 abs/1611.02788 (2016)
Coauthor Index
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