LipKernel: Lipschitz-Bounded Convolutional Neural Networks via
Dissipative Layers

LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers

29 October 2024

Frank Allgöwer

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Papers citing "LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers"

18 / 18 papers shown

Title
A Unified Algebraic Perspective on Lipschitz Neural Networks Alexandre Araujo Aaron J. Havens Blaise Delattre A. Allauzen Bin Hu AAML 69 56 0 06 Mar 2023
Lipschitz constant estimation for 1D convolutional neural networks Patricia Pauli Dennis Gramlich Frank Allgöwer 45 12 0 28 Nov 2022
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks Bernd Prach Christoph H. Lampert 73 37 0 05 Aug 2022
Neural network training under semidefinite constraints Patricia Pauli Niklas Funcke Dennis Gramlich Mohamed Amine Msalmi Frank Allgöwer GAN 46 14 0 03 Jan 2022
Robustness against Adversarial Attacks in Neural Networks using Incremental Dissipativity B. Aquino Arash Rahnama Peter M. Seiler Lizhen Lin Vijay Gupta AAML 36 8 0 25 Nov 2021
Orthogonalizing Convolutional Layers with the Cayley Transform Asher Trockman J. Zico Kolter 69 115 0 14 Apr 2021
Lipschitz Bounded Equilibrium Networks Max Revay Ruigang Wang I. Manchester 47 76 0 05 Oct 2020
Training robust neural networks using Lipschitz bounds Patricia Pauli Anne Koch J. Berberich Paul Kohler Frank Allgöwer 74 161 0 06 May 2020
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects Zewen Li Wenjie Yang Shouheng Peng Fan Liu HAI 3DV 115 2,732 0 01 Apr 2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks Matt Jordan A. Dimakis 63 112 0 02 Mar 2020
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks Mahyar Fazlyab Alexander Robey Hamed Hassani M. Morari George J. Pappas 100 461 0 12 Jun 2019
Residual Flows for Invertible Generative Modeling Ricky T. Q. Chen Jens Behrmann David Duvenaud J. Jacobsen BDL TPM DRL 114 377 0 06 Jun 2019
Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming Mahyar Fazlyab M. Morari George J. Pappas AAML 79 233 0 04 Mar 2019
Sorting out Lipschitz function approximation Cem Anil James Lucas Roger C. Grosse 90 325 0 13 Nov 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 88 530 0 28 May 2018
Regularisation of Neural Networks by Enforcing Lipschitz Continuity Henry Gouk E. Frank Bernhard Pfahringer M. Cree 172 480 0 12 Apr 2018
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 317 12,131 0 19 Jun 2017
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 282 14,963 1 21 Dec 2013