Jean-Yves Franceschi

27 papers A* 8A 1Journal 17
YearRankTypeTitle / Venue / Authors
2025 A* conf
Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder.
ICLR
Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jérémie Mary, Andrew I. Comport, Valérie Gouet-Brunet
2025 J jnl
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance.
Trans. Mach. Learn. Res.
Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell, Jamal Atif, Alexandre Allauzen
2025 A* conf
Improving Consistency Models with Generator-Augmented Flows.
ICML
Thibaut Issenhuth, Sangchul Lee, Ludovic Dos Santos, Jean-Yves Franceschi, Chansoo Kim, Alain Rakotomamonjy
2025 J jnl
On the MIA Vulnerability Gap Between Private GANs and Diffusion Models.
CoRR
Ilana Sebag, Jean-Yves Franceschi, Alain Rakotomamonjy, Alexandre Allauzen, Jamal Atif
2025 J jnl
RefinedFields: Radiance Fields Refinement for Planar Scene Representations.
Trans. Mach. Learn. Res.
Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa, Jérémie Mary, Valérie Gouet-Brunet
2024 J jnl
Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder.
CoRR
Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jérémie Mary, Andrew I. Comport, Valérie Gouet-Brunet
2024 J jnl
Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes.
CoRR
Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jérémie Mary, Andrew I. Comport, Valérie Gouet-Brunet
2024 J jnl
Improving Consistency Models with Generator-Induced Coupling.
CoRR
Thibaut Issenhuth, Ludovic Dos Santos, Jean-Yves Franceschi, Alain Rakotomamonjy
2024 J jnl
Scaled Inverse Graphics: Efficiently Learning Large Sets of 3D Scenes.
CoRR
Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jérémie Mary, Andrew I. Comport, Valérie Gouet-Brunet
2023 A* conf
Continuous PDE Dynamics Forecasting with Implicit Neural Representations.
ICLR
Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari
2023 J jnl
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance for Non-Parametric Generative Modeling.
CoRR
Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell, Jamal Atif, Alexandre Allauzen
2023 J jnl
EvE: Exploiting Generative Priors for Radiance Field Enrichment.
CoRR
Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa, Jérémie Mary, Valérie Gouet-Brunet
2023 A* conf
Unifying GANs and Score-Based Diffusion as Generative Particle Models.
NeurIPS
Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy
2023 J jnl
Unifying GANs and Score-Based Diffusion as Generative Particle Models.
CoRR
Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy
2022 A* conf
A Neural Tangent Kernel Perspective of GANs.
ICML
Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
2022 J jnl
Continuous PDE Dynamics Forecasting with Implicit Neural Representations.
CoRR
Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari
2022 — —
Representation Learning and Deep Generative Modeling in Dynamical Systems. (Apprentissage de représentations et modèles génératifs profonds dans les systèmes dynamiques).
Jean-Yves Franceschi
2021 J jnl
A Neural Tangent Kernel Perspective of GANs.
CoRR
Jean-Yves Franceschi, Emmanuel de Bézenac, Ibrahim Ayed, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
2021 A* conf
PDE-Driven Spatiotemporal Disentanglement.
ICLR
Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari
2020 J jnl
PDE-Driven Spatiotemporal Disentanglement.
CoRR
Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari
2020 A* conf
Stochastic Latent Residual Video Prediction.
ICML
Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
2020 J jnl
Stochastic Latent Residual Video Prediction.
CoRR
Jean-Yves Franceschi, Edouard Delasalles, Mickaël Chen, Sylvain Lamprier, Patrick Gallinari
2019 A* conf
Unsupervised Scalable Representation Learning for Multivariate Time Series.
NeurIPS
Jean-Yves Franceschi, Aymeric Dieuleveut, Martin Jaggi
2019 J jnl
Unsupervised Scalable Representation Learning for Multivariate Time Series.
CoRR
Jean-Yves Franceschi, Aymeric Dieuleveut, Martin Jaggi
2018 A conf
Robustness of classifiers to uniform $\ell_p$ and Gaussian noise.
AISTATS
Jean-Yves Franceschi, Alhussein Fawzi, Omar Fawzi
2018 J jnl
Robustness of classifiers to uniform 𝓁
CoRR
Jean-Yves Franceschi, Alhussein Fawzi, Omar Fawzi
2017 J jnl
A Simple Push-Pull Algorithm for Blue-Noise Sampling.
IEEE Trans. Vis. Comput. Graph.
Abdalla G. M. Ahmed, Jianwei Guo, Dong-Ming Yan, Jean-Yves Franceschi, Xiaopeng Zhang, Oliver Deussen