4 citations · 5 across the 11 of their papers we have counts for
4 papers · 1 filter
Lipschitz constant estimation for 1D convolutional neural networks
Patricia Pauli, Dennis Gramlich, Frank Allgöwer
In this work, we propose a dissipativity-based method for Lipschitz constant estimation of 1D convolutional neural networks (CNNs). In particular, we analyze the dissipativity prop…
Fast identification and stabilization of unknown linear systems
Dennis Gramlich, Christian Ebenbauer
In the present work, a simple algorithm for stabilizing an unknown linear time-invariant system is proposed, assuming only that this system is stabilizable. The suggested algorithm…
Robust Differential Dynamic Programming
Dennis Gramlich, Carsten W. Scherer, Christian Ebenbauer
Differential Dynamic Programming is an optimal control technique often used for trajectory generation. Many variations of this algorithm have been developed in the literature, incl…
Neural network training under semidefinite constraints
Patricia Pauli, Niklas Funcke, Dennis Gramlich +2
This paper is concerned with the training of neural networks (NNs) under semidefinite constraints, which allows for NN training with robustness and stability guarantees. In particu…