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Tristan Deleu

Discrete Probabilistic Inference as Control in Multi-path Environments

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Feb 15, 2024
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Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation

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Jul 30, 2023
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Generative Flow Networks: a Markov Chain Perspective

Jul 04, 2023
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BatchGFN: Generative Flow Networks for Batch Active Learning

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Jun 26, 2023
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Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network

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May 30, 2023
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GFlowNets for AI-Driven Scientific Discovery

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Feb 01, 2023
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A theory of continuous generative flow networks

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Jan 30, 2023
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Synergies Between Disentanglement and Sparsity: a Multi-Task Learning Perspective

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Nov 26, 2022
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Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes

Nov 04, 2022
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Learning Latent Structural Causal Models

Oct 24, 2022
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