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Antoine Dedieu

Diffusion Model Predictive Control

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Oct 07, 2024
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DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors

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Sep 26, 2024
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Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments

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Jan 11, 2024
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Schema-learning and rebinding as mechanisms of in-context learning and emergence

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Jun 16, 2023
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Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation

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Jan 31, 2023
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Graphical Models with Attention for Context-Specific Independence and an Application to Perceptual Grouping

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Dec 06, 2021
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Perturb-and-max-product: Sampling and learning in discrete energy-based models

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Nov 05, 2021
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Sample-efficient L0-L2 constrained structure learning of sparse Ising models

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Dec 04, 2020
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Query Training: Learning and inference for directed and undirected graphical models

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Jun 18, 2020
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Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives

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Jan 17, 2020
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