Group's publications in reversed chronological order.


  1. 2022_Brandao_E_j_-entropy_lpmsom.png
    Learning PDE to model self-organization of matter
    Eduardo Brandao, Jean-Philippe Colombier, Stefan Duffner, and 6 more authors
    Entropy, 2023
  2. 2023_Brandao_E_p-ecml-is_nn_mdl.png
    Is My Neural Net Driven by the MDL Principle?
    Eduardo Brandao, Stefan Duffner, Rémi Emonet, and 3 more authors
    In ECML, 2023
  3. 2022_Ma_H_j-plicrpmoimdl.png
    Predicting Laser-Induced Colors of Random Plasmonic Metasurfaces and Optimizing Image Multiplexing Using Deep Learning
    Hongfeng Ma, Nicolas Dalloz, Amaury Habrard, and 5 more authors
    ACS Nano, Jun 2023
  4. 2023_Brandao_E_prl_lcglison.png
    Learning Complexity to Guide Light-Induced Self-Organized Nanopatterns
    Eduardo Brandao, Anthony Nakhoul, Stefan Duffner, and 7 more authors
    Physical Review Letters, May 2023
  5. Proposal-contrastive pretraining for object detection from fewer data
    Quentin Bouniot, Romaric Audigier, Angélique Loesch, and 1 more author
    In ICLR, May 2023
  6. 2023_Zaid_G_p-tches_cvasa.png
    Conditional Variational AutoEncoder based on Stochastic Attacks
    Gabriel Zaid, Lilian Bossuet, Mathieu Carbone, and 2 more authors
    p-tches, Mar 2023
  7. A general framework for the practical disintegration of PAC-Bayesian bounds
    Paul Viallard, Pascal Germain, Amaury Habrard, and 1 more author
    Machine Learning, Oct 2023
  8. Deep Stacking Ensemble Learning applied to Profiling Side-Channel Attacks
    Dorian Llavata, Eleonora Cagli, Rémi Eyraud, and 2 more authors
    In CARDIS, Nov 2023