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Marylou Gabrié

Learned Reference-based Diffusion Sampling for multi-modal distributions

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Oct 25, 2024
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A theoretical perspective on mode collapse in variational inference

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Oct 17, 2024
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Stochastic Localization via Iterative Posterior Sampling

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Feb 16, 2024
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Active learning of Boltzmann samplers and potential energies with quantum mechanical accuracy

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Jan 29, 2024
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Balanced Training of Energy-Based Models with Adaptive Flow Sampling

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Jun 21, 2023
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On Sampling with Approximate Transport Maps

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Feb 09, 2023
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Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods

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Jul 16, 2021
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Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks

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Jul 11, 2021
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More data or more parameters? Investigating the effect of data structure on generalization

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Mar 09, 2021
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Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging

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Dec 15, 2020
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