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Miguel Lázaro-Gredilla

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Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments

Jan 11, 2024
Antoine Dedieu, Wolfgang Lehrach, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla

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Graph schemas as abstractions for transfer learning, inference, and planning

Feb 14, 2023
J. Swaroop Guntupalli, Rajkumar Vasudeva Raju, Shrinu Kushagra, Carter Wendelken, Danny Sawyer, Ishan Deshpande, Guangyao Zhou, Miguel Lázaro-Gredilla, Dileep George

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3D Neural Embedding Likelihood for Robust Sim-to-Real Transfer in Inverse Graphics

Feb 07, 2023
Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka

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PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX

Feb 08, 2022
Guangyao Zhou, Nishanth Kumar, Miguel Lázaro-Gredilla, Shrinu Kushagra, Dileep George

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DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model

Feb 08, 2022
Nishad Gothoskar, Miguel Lázaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George

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Graphical Models with Attention for Context-Specific Independence and an Application to Perceptual Grouping

Dec 06, 2021
Guangyao Zhou, Wolfgang Lehrach, Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George

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Sample-efficient L0-L2 constrained structure learning of sparse Ising models

Dec 04, 2020
Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George

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Query Training: Learning and inference for directed and undirected graphical models

Jun 18, 2020
Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George

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