Dileep George
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
9
Active years
2003–2024
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments. | Antoine Dedieu, Wolfgang Lehrach, Guangyao Zhou, Dileep George, Miguel Lzaro-Gredilla |
| 2023 | ICCV | 3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation. | Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lzaro-Gredilla, Dileep George, Vikash K. Mansinghka |
| 2023 | ICML | Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation. | Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lzaro-Gredilla |
| 2022 | ICRA | DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model. | Nishad Gothoskar, Miguel Lzaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George |
| 2021 | AAAI | Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models. | Antoine Dedieu, Miguel Lzaro-Gredilla, Dileep George |
| 2021 | AAAI | Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables. | Miguel Lzaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George |
| 2020 | CogSci | A Model of Fast Concept Inference with Object-Factorized Cognitive Programs. | Daniel P. Sawyer, Miguel Lzaro-Gredilla, Dileep George |
| 2018 | AAAI | 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 |
| 2017 | CVPR | Teaching Compositionality to CNNs. | Austin Stone, Hua-Yan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George |
| 2017 | ICML | Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics. | Ken Kansky, Tom Silver, David A. Mly, Mohamed Eldawy, Miguel Lzaro-Gredilla, Xinghua Lou, Nimrod Dorfman, Szymon Sidor, D. Scott Phoenix, Dileep George |
| 2009 | DAC | How to make computers that work like the brain. | Dileep George |
| 2005 | IJCNN | A hierarchical Bayesian model of invariant pattern recognition in the visual cortex. | Dileep George, Jeff Hawkins |
| 2003 | DIS | Discovering Ecosystem Models from Time-Series Data. | Dileep George, Kazumi Saito, Pat Langley, Stephen D. Bay, Kevin R. Arrigo |
| 2003 | DIS | Inducing Biological Models from Temporal Gene Expression Data. | Kazumi Saito, Dileep George, Stephen D. Bay, Jeff Shrager |
| 2003 | ICML | Robust Induction of Process Models from Time-Series Data. | Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito |