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Pierre Chainais

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Benchmarking multi-component signal processing methods in the time-frequency plane

Feb 13, 2024
Juan M. Miramont, Rémi Bardenet, Pierre Chainais, Francois Auger

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Signal reconstruction using determinantal sampling

Oct 13, 2023
Ayoub Belhadji, Rémi Bardenet, Pierre Chainais

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Normalizing flow sampling with Langevin dynamics in the latent space

May 20, 2023
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais

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Plug-and-Play split Gibbs sampler: embedding deep generative priors in Bayesian inference

Apr 21, 2023
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais

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A distributed Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems

Oct 05, 2022
Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais

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Sliced-Wasserstein normalizing flows: beyond maximum likelihood training

Jul 12, 2022
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais

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Learning Optimal Transport Between two Empirical Distributions with Normalizing Flows

Jul 05, 2022
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais

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Kernel interpolation with continuous volume sampling

Feb 22, 2020
Ayoub Belhadji, Rémi Bardenet, Pierre Chainais

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Kernel quadrature with DPPs

Jun 18, 2019
Ayoub Belhadji, Rémi Bardenet, Pierre Chainais

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Asymptotically exact data augmentation: models, properties and algorithms

Feb 15, 2019
Maxime Vono, Nicolas Dobigeon, Pierre Chainais

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