Provable Lipschitz Certification for Generative Models

6 July 2021

Papers citing "Provable Lipschitz Certification for Generative Models"

6 / 6 papers shown

Title
Functional trustworthiness of AI systems by statistically valid testing Bernhard Nessler Thomas Doms Sepp Hochreiter 26 0 0 04 Oct 2023
Evaluating the diversity and utility of materials proposed by generative models Alexander New Michael Pekala Elizabeth A. Pogue Nam Q. Le Janna Domenico C. Piatko Christopher D. Stiles AI4CE 30 1 0 09 Aug 2023
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution Elen Vardanyan Sona Hunanyan T. Galstyan A. Minasyan A. Dalalyan 34 2 0 31 Jul 2023
Zonotope Domains for Lagrangian Neural Network Verification Matt Jordan J. Hayase A. Dimakis Sewoong Oh 18 4 0 14 Oct 2022
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation Zhouxing Shi Yihan Wang Huan Zhang Zico Kolter Cho-Jui Hsieh 94 39 0 13 Oct 2022
A Domain-Theoretic Framework for Robustness Analysis of Neural Networks Can Zhou R. A. Shaikh Yiran Li Amin Farjudian OOD 33 4 0 01 Mar 2022