Jean-Yves Franceschi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Spatiotemporal Features

Multivariate Time Series

Image Magnification

Top Venues

Publications

Thibaut Issenhuth, Ludovic Dos Santos, Jean-Yves Franceschi, Alain Rakotomamonjy
Improving Consistency Models with Generator-Induced Coupling. CoRR (2024)
Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jérémie Mary, Andrew Comport, Valérie Gouet-Brunet
Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes. CoRR (2024)
Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa, Jérémie Mary, Valérie Gouet-Brunet
EvE: Exploiting Generative Priors for Radiance Field Enrichment. CoRR (2023)
Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy
Unifying GANs and Score-Based Diffusion as Generative Particle Models. CoRR (2023)
Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell, Jamal Atif, Alexandre Allauzen
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance for Non-Parametric Generative Modeling. CoRR (2023)
Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy
Unifying GANs and Score-Based Diffusion as Generative Particle Models. NeurIPS (2023)
Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari
Continuous PDE Dynamics Forecasting with Implicit Neural Representations. ICLR (2023)
Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari
Continuous PDE Dynamics Forecasting with Implicit Neural Representations. CoRR (2022)
Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
A Neural Tangent Kernel Perspective of GANs. ICML (2022)
Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
A Neural Tangent Kernel Perspective of GANs. CoRR (2021)
Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari
PDE-Driven Spatiotemporal Disentanglement. ICLR (2021)
Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari
PDE-Driven Spatiotemporal Disentanglement. CoRR (2020)
Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
Stochastic Latent Residual Video Prediction. ICML (2020)
Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
Stochastic Latent Residual Video Prediction. CoRR (2020)
Jean-Yves Franceschi, Aymeric Dieuleveut, Martin Jaggi
Unsupervised Scalable Representation Learning for Multivariate Time Series. NeurIPS (2019)
Jean-Yves Franceschi, Aymeric Dieuleveut, Martin Jaggi
Unsupervised Scalable Representation Learning for Multivariate Time Series. CoRR (2019)
Jean-Yves Franceschi, Alhussein Fawzi, Omar Fawzi
Robustness of classifiers to uniform $\ell_p$ and Gaussian noise. AISTATS (2018)
Jean-Yves Franceschi, Alhussein Fawzi, Omar Fawzi
and Gaussian noise. CoRR (2018)