Publications

This page lists bibliography entries dated during the BONSAI funding period (March 2024–February 2028). It is a time-window view, not a statement that every listed work was formally funded by the project.

  1. 2026
    Flow Matching Calibration for Simulation-Based Inference under Model Misspecification
    Pierre-Louis Ruhlmann and Michael Arbel and Florence Forbes and Pedro L. C. Rodrigues
    ICML 2026
  2. 2026
    Functional Bilevel Optimization for Predictive Fairness
    Ieva Petrulionyte and Julien Mairal and Michael Arbel
    arXiv preprint arXiv:2607.05098
  3. 2026
    Dual Perspectives on Non-Contrastive Self-Supervised Learning
    Jean Ponce and Basile Terver and Martial Hebert and Michael Arbel
    ICLR 2026
  4. 2026
    Beyond MMSE: Enhancing PnP Restoration with ProxiMAP
    Kenta Vert and Giacomo Meanti and Scott Pesme and Michael Arbel and Julien Mairal
    Advances in Neural Information Processing Systems (NeurIPS) 2026
  5. 2026
    BlockFormer : Transformer-based inference from genomic contact maps
    Eloïse Touron and Pedro L. C. Rodrigues and Julyan Arbel and Nelle Varoquaux and Michael Arbel
    Advances in Neural Information Processing Systems (NeurIPS) 2026
  6. 2026
    PEIRA: Learning Predictive Encoders through Inter-View Regressor Alignment
    Michael Arbel and Basile Terver and Jean Ponce
    Advances in Neural Information Processing Systems (NeurIPS) 2026
  7. 2026
    Semiparametric Efficient Bilevel Gradient Estimation
    El Khoury, Fares and Zenati, Houssam and Kallus, Nathan and Arbel, Michael and Bibaut, Aurélien
    arXiv preprint arXiv:2605.21341
  8. 2026
    Non-Stationary Functional Bilevel Optimization
    Jason Bohne and Ieva Petrulionyte and Michael Arbel and Julien Mairal and Paweł Polak
    AISTATS 2026
  9. 2025
    Simulation-based inference of yeast centromeres
    Eloïse Touron and Pedro L. C. Rodrigues and Julyan Arbel and Nelle Varoquaux and Michael Arbel
    Advances in Neural Information Processing Systems (NeurIPS) 2025, 3rd Workshop on Imageomic
  10. 2025
    Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching
    Giacomo Meanti and Thomas Ryckeboer and Michael Arbel and Julien Mairal
    ICCV 2025
  11. 2025
    EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Network
    Arbel, Michael and Salinas, David and Hutter, Frank
    Advances in Neural Information Processing Systems (NeurIPS) 2025
  12. 2025
    Learning Theory for Kernel Bilevel Optimization
    El Khoury, Fares and Pauwels, Edouard and Vaiter, Samuel and Arbel, Michael
    Advances in Neural Information Processing Systems (NeurIPS) 2025
  13. 2025
    LUDVIG: Learning-Free Uplifting of 2D Visual Features to Gaussian Splatting Scenes
    Marrie, Juliette and Ménégaux, Romain and Arbel, Michael and Larlus, Diane and Mairal, Julien
    IEEE/CVF International Conference on Computer Vision (ICCV) 2025
  14. 2025
    MAP Estimation with Denoisers: Convergence Rates and Guarantees
    Scott Pesme and Giacomo Meanti and Michael Arbel and Julien Mairal
    Advances in Neural Information Processing Systems (NeurIPS) 2025
  15. 2024
    Data augmentation for training neural networks
    Marrie, Juliette and Arbel, Michael and Mairal, Julien and Larlus, Diane
    US Patent Application 18/634,466
  16. 2024
    Functional Bilevel Optimization for Machine Learning
    Petrulionyte, Ieva and Mairal, Julien and Arbel, Michael
    Advances in Neural Information Processing Systems (NeurIPS) 2024
  17. 2024
    MLXP: A framework for conducting replicable experiments in Python
    Arbel, Michael and Zouaoui, Alexander
    Proceedings of the 2nd ACM Conference on Reproducibility and Replicability
  18. 2024
    On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models
    Marrie, Juliette and Arbel, Michael and Mairal, Julien and Larlus, Diane
    Transactions on Machine Learning Research Journal