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Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks

12 June 2019

George J. Pappas

Papers citing "Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks"

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Title
ALLSH: Active Learning Guided by Local Sensitivity and Hardness Shujian Zhang Chengyue Gong Xingchao Liu Pengcheng He Weizhu Chen Mingyuan Zhou 100 26 0 10 May 2022
Learning High-Dimensional McKean-Vlasov Forward-Backward Stochastic Differential Equations with General Distribution Dependence Jiequn Han Ruimeng Hu Jihao Long AI4CE OOD 42 23 0 25 Apr 2022
Deep Unlearning via Randomized Conditionally Independent Hessians Ronak R. Mehta Sourav Pal Vikas Singh Sathya Ravi MU 71 88 0 15 Apr 2022
Overparameterized Linear Regression under Adversarial Attacks Antônio H. Ribeiro Thomas B. Schon AAML 53 19 0 13 Apr 2022
Approximation of Lipschitz Functions using Deep Spline Neural Networks Sebastian Neumayer Alexis Goujon Pakshal Bohra M. Unser 69 17 0 13 Apr 2022
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks Anton Xue Lars Lindemann Alexander Robey Hamed Hassani George J. Pappas Rajeev Alur 134 13 0 02 Apr 2022
Robust Classification using Contractive Hamiltonian Neural ODEs M. Zakwan Liang Xu Giancarlo Ferrari-Trecate 58 23 0 22 Mar 2022
On the sensitivity of pose estimation neural networks: rotation parameterizations, Lipschitz constants, and provable bounds Trevor Avant K. Morgansen 23 1 0 16 Mar 2022
A Quantitative Geometric Approach to Neural-Network Smoothness Zehao Wang Gautam Prakriya S. Jha 112 13 0 02 Mar 2022
A Domain-Theoretic Framework for Robustness Analysis of Neural Networks Can Zhou R. A. Shaikh Yiran Li Amin Farjudian OOD 78 4 0 01 Mar 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 92 13 0 26 Feb 2022
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods Charles Dawson Sicun Gao Chuchu Fan 78 243 0 23 Feb 2022
Controlling the Complexity and Lipschitz Constant improves polynomial nets Zhenyu Zhu Fabian Latorre Grigorios G. Chrysos Volkan Cevher 57 10 0 10 Feb 2022
Width is Less Important than Depth in ReLU Neural Networks Gal Vardi Gilad Yehudai Ohad Shamir 3DV 47 10 0 08 Feb 2022
Neural network training under semidefinite constraints Patricia Pauli Niklas Funcke Dennis Gramlich Mohamed Amine Msalmi Frank Allgöwer GAN 59 14 0 03 Jan 2022
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints R. Arghal Eric Lei Shirin Saeedi Bidokhti 55 19 0 14 Dec 2021
ELF: Exact-Lipschitz Based Universal Density Approximator Flow Achintya Gopal 49 1 0 13 Dec 2021
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis T. Lew Lucas Janson Riccardo Bonalli Marco Pavone 89 18 0 10 Dec 2021
Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach Saber Jafarpour Matthew Abate A. Davydov Francesco Bullo Samuel Coogan AAML 62 8 0 10 Dec 2021
Bridging the Model-Reality Gap with Lipschitz Network Adaptation Siqi Zhou Karime Pereida Perez Wenda Zhao Angela P. Schoellig 110 12 0 07 Dec 2021
On the Robustness and Generalization of Deep Learning Driven Full Waveform Inversion Chengyuan Deng Youzuo Lin OOD 56 2 0 28 Nov 2021
On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments Fabio Bonassi M. Farina Jing Xie R. Scattolini AI4CE 61 68 0 26 Nov 2021
Robustness against Adversarial Attacks in Neural Networks using Incremental Dissipativity B. Aquino Arash Rahnama Peter M. Seiler Lizhen Lin Vijay Gupta AAML 51 8 0 25 Nov 2021
Over-the-Air Federated Learning with Retransmissions (Extended Version) Henrik Hellström Viktoria Fodor Carlo Fischione 63 2 0 19 Nov 2021
Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations Lars Lindemann Alexander Robey Lejun Jiang Satyajeet Das Stephen Tu Nikolai Matni 129 43 0 18 Nov 2021
Fast BATLLNN: Fast Box Analysis of Two-Level Lattice Neural Networks James Ferlez Haitham Khedr Yasser Shoukry 56 12 0 17 Nov 2021
Solving PDE-constrained Control Problems Using Operator Learning Rakhoon Hwang Jae Yong Lee J. Shin H. Hwang AI4CE 167 48 0 09 Nov 2021
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds Yujia Huang Huan Zhang Yuanyuan Shi J Zico Kolter Anima Anandkumar 105 78 0 02 Nov 2021
A Dynamical System Perspective for Lipschitz Neural Networks Laurent Meunier Blaise Delattre Alexandre Araujo A. Allauzen 128 56 0 25 Oct 2021
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives Zida Cheng Chuanwei Ruan Siheng Chen Sushant Kumar Ya Zhang 84 16 0 23 Oct 2021
Towards Understanding the Data Dependency of Mixup-style Training Muthuraman Chidambaram Xiang Wang Yuzheng Hu Chenwei Wu Rong Ge UQCV 99 24 0 14 Oct 2021
Compressive Visual Representations Kuang-Huei Lee Anurag Arnab S. Guadarrama John F. Canny Ian S. Fischer SSL 160 48 0 27 Sep 2021
Machine Unlearning of Features and Labels Alexander Warnecke Lukas Pirch Christian Wressnegger Konrad Rieck MU 136 187 0 26 Aug 2021
Bridged Adversarial Training Hoki Kim Woojin Lee Sungyoon Lee Jaewook Lee AAML GAN 65 9 0 25 Aug 2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Lukas Brunke Melissa Greeff Adam W. Hall Zhaocong Yuan Siqi Zhou Jacopo Panerati Angela P. Schoellig OffRL 68 637 0 13 Aug 2021
GoTube: Scalable Stochastic Verification of Continuous-Depth Models Sophie Gruenbacher Mathias Lechner Ramin Hasani Daniela Rus T. Henzinger S. Smolka Radu Grosu 68 17 0 18 Jul 2021
Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation Alexander Ziller Dmitrii Usynin Moritz Knolle Kritika Prakash Andrew Trask R. Braren Marcus R. Makowski Daniel Rueckert Georgios Kaissis 74 5 0 09 Jul 2021
Provable Lipschitz Certification for Generative Models Matt Jordan A. Dimakis 54 14 0 06 Jul 2021
Online Verification of Deep Neural Networks under Domain Shift or Network Updates Tianhao Wei Changliu Liu 19 0 0 24 Jun 2021
DeepSplit: Scalable Verification of Deep Neural Networks via Operator Splitting Shaoru Chen Eric Wong Zico Kolter Mahyar Fazlyab 123 15 0 16 Jun 2021
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity Dhruv Malik Aldo Pacchiano Vishwak Srinivasan Yuanzhi Li 57 6 0 15 Jun 2021
What training reveals about neural network complexity Andreas Loukas Marinos Poiitis Stefanie Jegelka 67 11 0 08 Jun 2021
Learning by Transference: Training Graph Neural Networks on Growing Graphs J. Cerviño Luana Ruiz Alejandro Ribeiro GNN 59 19 0 07 Jun 2021
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition Jiaming Liu M. Salman Asif B. Wohlberg Ulugbek S. Kamilov 117 43 0 07 Jun 2021
Measuring Generalization with Optimal Transport Ching-Yao Chuang Youssef Mroueh Kristjan Greenewald Antonio Torralba Stefanie Jegelka OT 90 27 0 07 Jun 2021
Robust Implicit Networks via Non-Euclidean Contractions Saber Jafarpour A. Davydov A. Proskurnikov Francesco Bullo 155 43 0 06 Jun 2021
DL-DDA -- Deep Learning based Dynamic Difficulty Adjustment with UX and Gameplay constraints Dvir Ben-Or Michael Kolomenkin G. Shabat 25 13 0 06 Jun 2021
Improving Neural Network Robustness via Persistency of Excitation Kaustubh Sridhar O. Sokolsky Insup Lee James Weimer AAML 83 20 0 03 Jun 2021
Representation Learning Beyond Linear Prediction Functions Ziping Xu Ambuj Tewari 67 21 0 31 May 2021
Variational Autoencoders: A Harmonic Perspective A. Camuto M. Willetts DRL 60 1 0 31 May 2021