Lipschitz-Bounded 1D Convolutional Neural Networks using the Cayley Transform and the Controllability Gramian
Author:
Affiliation:
1. Institute for Systems Theory and Automatic Control, University of Stuttgart,Stuttgart,Germany,70569
2. School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney,Australian Centre for Robotics,Australia
Funder
Deutsche Forschungsgemeinschaft
DFG
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10383192/10383193/10383534.pdf?arnumber=10383534
Reference25 articles.
1. Efficient and accurate estimation of Lipschitz constants for deep neural networks;Fazlyab;Adv. Neural Inf. Process.,2019
2. Lipschitz constant estimation for 1D convolutional neural networks;Pauli,2023
3. Deep Neural Network Structures Solving Variational Inequalities
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