Franceschi, Jean-Yves

14 publications

ICLR 2025 Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jeremie Mary, Andrew I. Comport, Valerie Gouet-Brunet

TMLR 2025 Differentially Private Gradient Flow Based on the Sliced Wasserstein Distance Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell, Jamal Atif, Alexandre Allauzen

ICML 2025 Improving Consistency Models with Generator-Augmented Flows Thibaut Issenhuth, Sangchul Lee, Ludovic Dos Santos, Jean-Yves Franceschi, Chansoo Kim, Alain Rakotomamonjy

TMLR 2025 RefinedFields: Radiance Fields Refinement for Planar Scene Representations Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa, Jeremie Mary, Valerie Gouet-Brunet

ICMLW 2024 Improving Consistency Models with Generator-Induced Coupling Thibaut Issenhuth, Ludovic Dos Santos, Jean-Yves Franceschi, Alain Rakotomamonjy

ICLR 2023 Continuous PDE Dynamics Forecasting with Implicit Neural Representations Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari

NeurIPS 2023 Unifying GANs and Score-Based Diffusion as Generative Particle Models Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickael Chen, Alain Rakotomamonjy

ICML 2022 A Neural Tangent Kernel Perspective of GANs Jean-Yves Franceschi, Emmanuel De Bézenac, Ibrahim Ayed, Mickael Chen, Sylvain Lamprier, Patrick Gallinari

NeurIPSW 2022 Continuous PDE Dynamics Forecasting with Implicit Neural Representations Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari

ICLR 2021 PDE-Driven Spatiotemporal Disentanglement Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari

ICML 2020 Stochastic Latent Residual Video Prediction Jean-Yves Franceschi, Edouard Delasalles, Mickael Chen, Sylvain Lamprier, Patrick Gallinari

NeurIPS 2019 Unsupervised Scalable Representation Learning for Multivariate Time Series Jean-Yves Franceschi, Aymeric Dieuleveut, Martin Jaggi

ICLRW 2019 Unsupervised Scalable Representation Learning for Multivariate Time Series Jean-Yves Franceschi, Aymeric Dieuleveut, Martin Jaggi

AISTATS 2018 Robustness of Classifiers to Uniform $\ell_p$ and Gaussian Noise Jean-Yves Franceschi, Alhussein Fawzi, Omar Fawzi