Jean Baptiste Masson — accepted AI-conference papers

2026

Optimal transport unlocks end-to-end learning for single-molecule localization

Romain Seailles, Jean Baptiste Masson, Jean Ponce, Julien Mairal

ICLR 2026poster

Single‑molecule localization microscopy (SMLM) allows reconstructing cellular organelles and biology-relevant structures far beyond the limited spatial resolution imposed by optics constrains, using tagged biomolecule positions. Currently, efficient SMLM requires non‑overlapping emitting fluorophore…

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2025

Approximate information maximization for bandit games

Alex Barbier Chebbah, Christian L Vestergaard, Jean Baptiste Masson, Etienne Boursier

AISTATS 2025poster

Entropy maximization and free energy minimization are general physics principles for modeling dynamic systems. Notable examples include modeling decision-making within the brain using the free-energy principle, optimizing the accuracy-complexity trade-off when accessing hidden variables with the inf…

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