Mickaël Chen

13 papers · 2018–2025 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+4 more ↓

🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint

🚀 Conference Pioneer ❓ The Questioner 💎 Century Club · Bronze 🗃️ Keyword Collector (58)

Venues

NeurIPS (4) CVPR (2) ECCV (2) ICLR (2) ICML (2) ICCV (1)

Top co-authors

Matthieu Cord (6) Patrick Pérez (5) Eloi Zablocki (4) Jean-Yves Franceschi (3) Hedi Ben-younes (2) Sylvain Lamprier (2) Victor Letzelter (2) Gaël RICHARD (2) Ludovic DENOYER (2) Thierry Artières (2)

Research topics

Deep Learning (9) Machine Learning (7) Models (6) Computer Vision (5) Core Methods (4) Generation (3) Mathematics & Optimization (2) Analysis (2) Domain-Specific (2) Learning Types (2) Optimization (2) Processing (2) Artificial Intelligence (1) Application Areas (1) Architectures (1)

Keywords

semantic segmentation (3) generative adversarial network (3) latent space (2) autonomous driving (2) generative model (2) image generation (2) multiple choice learning (2) optimal transport (1) temporal modeling (1) neural tangent kernel (1) sparse representation (1) video prediction (1) temporal dynamics (1) scene understanding (1) adversarial learning (1) bird's eye view (1) explainable ai (1) feature extraction (1) gaussian splatting (1) conditional generation (1)

Papers

GaussRender: Learning 3D Occupancy with Gaussian Rendering ICCV 2025 Halton Scheduler for Masked Generative Image Transformer ICLR 2025 Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing NeurIPS 2024 PointBeV: A Sparse Approach for BeV Predictions CVPR 2024 Reliability in Semantic Segmentation: Can We Use Synthetic Data? ECCV 2024 OCTET: Object-Aware Counterfactual Explanations CVPR 2023 Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis NeurIPS 2023 Unifying GANs and Score-Based Diffusion as Generative Particle Models NeurIPS 2023 A Neural Tangent Kernel Perspective of GANs ICML 2022 STEEX: Steering Counterfactual Explanations with Semantics ECCV 2022 Stochastic Latent Residual Video Prediction ICML 2020 Unsupervised Object Segmentation by Redrawing NeurIPS 2019 Multi-View Data Generation Without View Supervision ICLR 2018