output
20232026
most citedOn the Krein-Rutman theorem and beyond

2 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.LG2026

LiST: Lipschitz Scaling Training for Robust and Calibrated Neural Networks

Arthur Chiron, Franck Mamalet, Thomas Massena +2

While accuracy, robustness, and calibration are all essential for reliable neural networks, they are often studied separately; developing models that satisfy all three simultaneous…

cs.LG2025

Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks

Thomas Massena, Léo andéol, Thibaut Boissin +4

Conformal Prediction (CP) has proven to be an effective post-hoc method for improving the trustworthiness of neural networks by providing prediction sets with finite-sample guarant…