2 papers
stat.ML2026
LiD-GLM: Lipschitz-constrained Deep Generalized Linear Models
Tom Splittgerber, Niklas Koenen, Marvin N. Wright +1
The combination of traditional statistical models and neural network (NN) components into semi-structured hybrid models is an intriguing approach to construct models that, ideally,…
cs.LG2026
ExLipBaB: Exact Lipschitz Constant Computation for Piecewise Linear Neural Networks
Tom A. Splittgerber
It has been shown that a neural network's Lipschitz constant can be leveraged to derive robustness guarantees, to improve generalizability via regularization or even to construct i…