publications

  1. Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling
    Matthieu Blanke, Yongquan Qu, Sara Shamekh, and Pierre Gentine
    Submitted,
    2025

    arXiv PDF Code

  2. Deep Learning For Physical Systems: Estimation, Adaptation and Exploration
    Matthieu Blanke
    PhD thesis at Université Paris Sciences et Lettres, ED386,
    2024

    HTML PDF

  3. Neural Incremental Data Assimilation
    Matthieu Blanke, Ronan Fablet, and Marc Lelarge
    ICML workshop AI for Science,
    2024

    HTML arXiv PDF Code

  4. Interpretable Meta-Learning of Physical Systems
    Matthieu Blanke, and Marc Lelarge
    ICLR 2024 - The Twelfth International Conference on Learning Representations,
    2024

    HTML arXiv PDF Code

  5. Task-Linear Deep Representation of Physical Systems
    Matthieu Blanke, and Marc Lelarge
    ICML workshop SynsML,
    2023

    HTML PDF Code

  6. FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems
    Matthieu Blanke, and Marc Lelarge
    ICML 2023 - The Fortieth International Conference on Machine Learning,
    2023

    HTML arXiv PDF Code

  7. D-optimal neural exploration of nonlinear physical systems
    Matthieu Blanke, and Marc Lelarge
    NeurIPS workshop ML4PS,
    2022

    HTML PDF Code

  8. Online greedy identification of linear dynamical systems
    Matthieu Blanke, and Marc Lelarge
    CDC 2022 - IEEE 61st Conference on Decision and Control,
    2022

    HTML arXiv PDF Code

  9. Online greedy identification of linear dynamical systems
    Matthieu Blanke, and Marc Lelarge
    ICML workshop ReALML,
    2022

    HTML PDF Code

  10. Deep learning isochronism
    Matthieu Blanke
    On Future Synergies for Stochastic and Learning Algorithms workshop, CIRM Marseille,
    2021

    PDF Code