Thomas Deltort

LiST: Lipschitz Scaling Training for Robust and Calibrated Neural Networks

Arthur Chiron, Franck Mamalet, Thomas Massena, Thomas Deltort, Mathieu Serrurier

While accuracy, robustness, and calibration are all essential for reliable neural networks, they are often studied separately; developing models that satisfy all three simultaneously remains a central challenge. Lipschitz-constrained models guarantee robustness by design, yet the…Read more