control-oriented design 1data-driven methods 1discrete-time systems 1event-triggered control 1extremum seeking 1machine learning 1nonlinear optimization 1physics-informed modeling 1resource-aware control 1system identification 1
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cs.LG2026★ 1 cited
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers
Patricia Pauli, Ruigang Wang, Ian Manchester +1
We propose a novel layer-wise parameterization for convolutional neural networks (CNNs) that includes built-in robustness guarantees by enforcing a prescribed Lipschitz bound. Each…
cs.LG2024
Lipschitz constant estimation for general neural network architectures using control tools
Patricia Pauli, Dennis Gramlich, Frank Allgöwer
This paper is devoted to the estimation of the Lipschitz constant of general neural network architectures using semidefinite programming. For this purpose, we interpret neural netw…