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Luc Rey-Bellet

Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows

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Jul 16, 2024
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Nonlinear denoising score matching for enhanced learning of structured distributions

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May 24, 2024
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Learning heavy-tailed distributions with Wasserstein-proximal-regularized $α$-divergences

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May 22, 2024
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Statistical Guarantees of Group-Invariant GANs

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May 22, 2023
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Sample Complexity of Probability Divergences under Group Symmetry

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Feb 03, 2023
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Lipschitz regularized gradient flows and latent generative particles

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Nov 07, 2022
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Function-space regularized Rényi divergences

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Oct 10, 2022
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Structure-preserving GANs

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Feb 02, 2022
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Model Uncertainty and Correctability for Directed Graphical Models

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Jul 17, 2021
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$(f,Γ)$-Divergences: Interpolating between $f$-Divergences and Integral Probability Metrics

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Nov 11, 2020
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