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Alexia Jolicoeur-Martineau

MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation


May 30, 2022
Vikram Voleti, Alexia Jolicoeur-Martineau, Christopher Pal

* 9 pages, 4 figures, 7 tables 

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Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation


May 23, 2022
Vikram Voleti, Alexia Jolicoeur-Martineau, Christopher Pal

* 9 pages, 4 figures, 7 tables 

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Gotta Go Fast When Generating Data with Score-Based Models


May 28, 2021
Alexia Jolicoeur-Martineau, Ke Li, Rémi Piché-Taillefer, Tal Kachman, Ioannis Mitliagkas

* Code is available on https://github.com/AlexiaJM/score_sde_fast_sampling 

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Adversarial score matching and improved sampling for image generation


Oct 10, 2020
Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Rémi Tachet des Combes, Ioannis Mitliagkas

* Code at https://github.com/AlexiaJM/AdversarialConsistentScoreMatching 

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Stochastic Hamiltonian Gradient Methods for Smooth Games


Jul 08, 2020
Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau, Pascal Vincent, Simon Lacoste-Julien, Ioannis Mitliagkas

* ICML 2020 - Proceedings of the 37th International Conference on Machine Learning 

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Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs


Oct 15, 2019
Alexia Jolicoeur-Martineau, Ioannis Mitliagkas

* Code at https://github.com/AlexiaJM/MaximumMarginGANs 

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On Relativistic $f$-Divergences


Jan 08, 2019
Alexia Jolicoeur-Martineau

* Code is available on: https://github.com/AlexiaJM/relativistic-f-divergences 

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The relativistic discriminator: a key element missing from standard GAN


Sep 10, 2018
Alexia Jolicoeur-Martineau

* https://github.com/AlexiaJM/RelativisticGAN 

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GANs beyond divergence minimization


Sep 06, 2018
Alexia Jolicoeur-Martineau

* Associated repository: https://github.com/AlexiaJM/GANsBeyondDivergenceMin 

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