Core Deep Learning

Deep learning being now a key component of AD systems, it is important to get a better understanding of its inner workings, in particular the link between the specifics of the learning optimization and the key properties (performance, regularity, robustness, generalization) of the trained models.

Selected publications

  1. 2025

  2. JAFAR: Jack up Any Feature at Any Resolution
    Paul Couairon*, Loick Chambon*, Louis Serrano, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome
    NeurIPS 2025
  3. Learning to Steer: Input-dependent Steering for Multimodal LLMs
    Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Arnaud Dapogny, Alasdair Newson, Matthieu Cord
    NeurIPS 2025
  4. Analyzing Fine-tuning Representation Shift for Multimodal LLMs Steering alignment
    Pegah Khayatan*, Mustafa Shukor*, Jayneel Parekh*, Matthieu Cord
    ICCV 2025
  5. Winner-takes-all for Multivariate Probabilistic Time Series Forecasting
    Adrien Cortés*, Rémi Rehm, and Victor Letzelter*
    ICML 2025
  6. LiDPM: Rethinking Point Diffusion for Lidar Scene Completion
    Tetiana Martyniuk, Gilles Puy, Alexandre Boulch, Renaud Marlet, Raoul de Charette
    IV 2025oral
  7. Annealed Winner-Takes-All for Motion Forecasting
    Yihong Xu, Victor Letzelter, Mickaël Chen, Éloi Zablocki, Matthieu Cord
    ICRA 2025
  8. ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schrödinger Bridge
    Eslam Abdelrahman, Liangbing Zhao, Vincent Tao Hu, Matthieu Cord, Patrick Perez, Mohamed Elhoseiny
    ICLR 2025
  9. 2024

  10. Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing
    David Perera*, Victor Letzelter*, Théo Mariotte, Adrien Cortés, Mickael Chen, Slim Essid, Gaël Richard
    NeurIPS 2024
  11. A Concept-Based Explainability Framework for Large Multimodal Models
    Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Alasdair Newson, Matthieu Cord
    NeurIPS 2024
  12. DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut
    Paul Couairon, Mustafa Shukor, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome
    NeurIPS 2024
  13. Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation
    Bjoern Michele, Alexandre Boulch, Tuan-Hung Vu, Gilles Puy, Renaud Marlet, Nicolas Courty
    ECCV 2024
  14. PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation
    Nermin Samet, Cédric Rommel, David Picard, Eduardo Valle
    ECCV Workshop 2024
  15. Winner-takes-all learners are geometry-aware conditional density estimators
    Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Pérez
    ICML 2024
  16. Don’t drop your samples! Coherence-aware training benefits Conditional diffusion
    Nicolas Dufour, Victor Besnier, Vicky Kalogeiton, David Picard
    CVPR 2024highlight
  17. What Makes Multimodal In-Context Learning Work?
    Folco Bertini Baldassini, Mustafa Shukor, Matthieu Cord, Laure Soulier, Benjamin Piwowarski
    CVPR Workshop on Prompting in Vision 2024
  18. 2023

  19. Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
    Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, and Gaël Richard
    NeurIPS 2023
  20. Butterfly factorization by algorithmic identification of rank-one blocks
    Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
    GRETSI 2023
  21. Efficient identification of butterfly sparse matrix factorizations
    Léon Zheng, Elisa Riccietti, Rémi Gribonval
    SIAM Journal on Mathematics of Data Science 2023
  22. Self-supervised learning with rotation-invariant kernels
    Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
    ICLR 2023
  23. 2022

  24. Spherical perspective on learning with normalization layers
    Simon Roburin, Yann de Mont-Marin, Andrei Bursuc, Renaud Marlet, Patrick Pérez, Mathieu Aubry
    Neurocomputing 2022
  25. 2020

  26. QuEST: Quantized Embedding Space for Transferring Knowledge
    Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, and Matthieu Cord
    ECCV 2020