Multi-view Generative Adversarial Networks. - Mickaël Chen; Ludovic Denoyer (ECML/PKDD (2), 2017)

transferring style in motion capture sequences with adversarial learning. - Qi Wang 018; Mickaël Chen; Thierry Artières; Ludovic Denoyer (ESANN, 2018)

Multi-View Data Generation Without View Supervision. - Mickaël Chen; Ludovic Denoyer; Thierry Artières (ICLR (Poster), 2018)

Unsupervised Object Segmentation by Redrawing. - Mickaël Chen; Thierry Artières; Ludovic Denoyer (NeurIPS, 2019)

Stochastic Latent Residual Video Prediction. - Jean-Yves Franceschi; Edouard Delasalles; Mickaël Chen; Sylvain Lamprier; Patrick Gallinari (ICML, 2020)

Adversarial learning for modeling human motion. - Qi Wang 018; Thierry Artières; Mickaël Chen; Ludovic Denoyer (Vis. Comput., 2020)

Learning with weak supervision using deep generative networks. (Apprentissage en supervision faible par l'emploi de réseaux génératifs profonds). - Mickaël Chen (2020)

Raising context awareness in motion forecasting. - Hedi Ben-Younes; Éloi Zablocki; Mickaël Chen; Patrick Pérez; Matthieu Cord (CVPR Workshops, 2022)

STEEX: Steering Counterfactual Explanations with Semantics. - Paul Jacob; Éloi Zablocki; Hédi Ben-Younes; Mickaël Chen; Patrick Pérez; Matthieu Cord (ECCV (12), 2022)

A Neural Tangent Kernel Perspective of GANs. - Jean-Yves Franceschi; Emmanuel de Bézenac; Ibrahim Ayed; Mickaël Chen; Sylvain Lamprier; Patrick Gallinari (ICML, 2022)

OCTET: Object-aware Counterfactual Explanations. - Mehdi Zemni; Mickaël Chen; Éloi Zablocki; Hédi Ben-Younes; Patrick Pérez; Matthieu Cord (CVPR, 2023)

DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion. - Cédric Rommel; Eduardo Valle; Mickaël Chen; Souhaiel Khalfaoui; Renaud Marlet; Matthieu Cord; Patrick Pérez (ICCV (Workshops), 2023)

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

Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis. - Victor Letzelter; Mathieu Fontaine 002; Mickaël Chen; Patrick Pérez; Slim Essid; Gaël Richard (NeurIPS, 2023)

Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving. - Yihong Xu; Loïck Chambon; Éloi Zablocki; Mickaël Chen; Matthieu Cord; Patrick Pérez (CoRR, 2023)

A Pytorch Reproduction of Masked Generative Image Transformer. - Victor Besnier; Mickaël Chen (CoRR, 2023)

Manipulating Trajectory Prediction with Backdoors. - Kaouther Messaoud; Kathrin Grosse; Mickaël Chen; Matthieu Cord; Patrick Pérez; Alexandre Alahi (CoRR, 2023)

PointBeV: A Sparse Approach to BeV Predictions. - Loïck Chambon; Éloi Zablocki; Mickaël Chen; Florent Bartoccioni; Patrick Pérez; Matthieu Cord (CVPR, 2024)

Reliability in Semantic Segmentation: Can We Use Synthetic Data? - Thibaut Loiseau; Tuan-Hung Vu; Mickaël Chen; Patrick Pérez; Matthieu Cord (ECCV (23), 2024)

Valeo4Cast: A Modular Approach to End-to-End Forecasting. - Yihong Xu; Éloi Zablocki; Alexandre Boulch; Gilles Puy; Mickaël Chen; Florent Bartoccioni; Nermin Samet; Oriane Siméoni; Spyros Gidaris; Tuan-Hung Vu; Andrei Bursuc; Eduardo Valle; et al. (ECCV Workshops (7), 2024)

Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive? - Yihong Xu; Loïck Chambon; Éloi Zablocki; Mickaël Chen; Alexandre Alahi; Matthieu Cord; Patrick Pérez (ICRA, 2024)

Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing. - David Perera; Victor Letzelter; Théo Mariotte; Adrien Cortés; Mickaël Chen; Slim Essid; Gaël Richard (NeurIPS, 2024)

Annealed Winner-Takes-All for Motion Forecasting. - Yihong Xu; Victor Letzelter; Mickaël Chen; Éloi Zablocki; Matthieu Cord (CoRR, 2024)

LOGen: Toward Lidar Object Generation by Point Diffusion. - Ellington Kirby; Mickaël Chen; Renaud Marlet; Nermin Samet (CoRR, 2024)

Halton Scheduler for Masked Generative Image Transformer. - Victor Besnier; Mickaël Chen; David Hurych; Eduardo Valle; Matthieu Cord (ICLR, 2025)

GaussRender: Learning 3D Occupancy with Gaussian Rendering. - Loïck Chambon; Eloi Zablocki; Alexandre Boulch; Mickaël Chen; Matthieu Cord (CoRR, 2025)

VaViM and VaVAM: Autonomous Driving through Video Generative Modeling. - Florent Bartoccioni; Elias Ramzi; Victor Besnier; Shashanka Venkataramanan; Tuan-Hung Vu; Yihong Xu; Loïck Chambon; Spyros Gidaris; Serkan Odabas; David Hurych; Renaud Marlet; Alexandre Boulch; et al. (CoRR, 2025)

Surfer-H Meets Holo1: Cost-Efficient Web Agent Powered by Open Weights. - Mathieu Andreux; Breno Baldas Skuk; Hamza Benchekroun; Emilien Biré; Antoine Bonnet; Riaz Bordie; Nathan Bout; Matthias Brunel; Pierre-Louis Cedoz; Antoine Chassang; Mickaël Chen; Alexandra D. Constantinou; et al. (CoRR, 2025)