Lipschitz regularity of deep neural networks: analysis and efficient estimation

28 May 2018

Papers citing "Lipschitz regularity of deep neural networks: analysis and efficient estimation"

50 / 329 papers shown

Title
Neural PDE Solvers for Irregular Domains Biswajit Khara Ethan Herron Zhanhong Jiang Aditya Balu Chih-Hsuan Yang ... Anushrut Jignasu S. Sarkar C. Hegde A. Krishnamurthy Baskar Ganapathysubramanian AI4CE 24 7 0 07 Nov 2022
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations Giannis Nikolentzos Michail Chatzianastasis Michalis Vazirgiannis 21 7 0 04 Nov 2022
Isometric Representations in Neural Networks Improve Robustness Kosio Beshkov Jonas Verhellen M. Lepperød AAML OOD 30 1 0 02 Nov 2022
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions Stanislas Ducotterd Alexis Goujon Pakshal Bohra Dimitris Perdios Sebastian Neumayer M. Unser 35 12 0 28 Oct 2022
A Policy-Guided Imitation Approach for Offline Reinforcement Learning Haoran Xu Li Jiang Jianxiong Li Xianyuan Zhan OffRL 26 62 0 15 Oct 2022
Zonotope Domains for Lagrangian Neural Network Verification Matt Jordan J. Hayase A. Dimakis Sewoong Oh 26 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 102 40 0 13 Oct 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning Lorenzo Bonicelli Matteo Boschini Angelo Porrello C. Spampinato Simone Calderara CLL 26 45 0 12 Oct 2022
On the Importance of Gradient Norm in PAC-Bayesian Bounds Itai Gat Yossi Adi A. Schwing Tamir Hazan BDL 37 6 0 12 Oct 2022
Self-explaining Hierarchical Model for Intraoperative Time Series Dingwen Li Bing Xue C. King Bradley A. Fritz M. Avidan Joanna Abraham Chenyang Lu AI4CE 21 3 0 10 Oct 2022
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks Ching-Yao Chuang Stefanie Jegelka OOD 67 35 0 04 Oct 2022
Learning-based Design of Luenberger Observers for Autonomous Nonlinear Systems Muhammad Umar B. Niazi Johnson R. Cao Xu-yang Sun Amritam Das Karl H. Johansson OOD 15 22 0 04 Oct 2022
Polynomial-Time Reachability for LTI Systems with Two-Level Lattice Neural Network Controllers James Ferlez Yasser Shoukry 29 1 0 20 Sep 2022
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks Hubert Leterme K. Polisano V. Perrier Alahari Karteek FAtt 38 2 0 19 Sep 2022
Prompt Tuning with Soft Context Sharing for Vision-Language Models Kun Ding Ying Wang Pengzhang Liu Qiang Yu Hao Zhang Shiming Xiang Chunhong Pan VPVLM VLM 29 14 0 29 Aug 2022
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection Simin Li Huangxinxin Xu Jiakai Wang Aishan Liu Fazhi He Xianglong Liu Dacheng Tao AAML 28 5 0 23 Aug 2022
Critical Bach Size Minimizes Stochastic First-Order Oracle Complexity of Deep Learning Optimizer using Hyperparameters Close to One Hideaki Iiduka ODL 38 4 0 21 Aug 2022
Delaunay-Triangulation-Based Learning with Hessian Total-Variation Regularization Mehrsa Pourya Alexis Goujon M. Unser 30 5 0 16 Aug 2022
Robust Training and Verification of Implicit Neural Networks: A Non-Euclidean Contractive Approach Saber Jafarpour A. Davydov Matthew Abate Francesco Bullo Samuel Coogan 13 1 0 08 Aug 2022
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks Bernd Prach Christoph H. Lampert 32 35 0 05 Aug 2022
Stable Parallel Training of Wasserstein Conditional Generative Adversarial Neural Networks Massimiliano Lupo Pasini Junqi Yin GAN 19 4 0 25 Jul 2022
Unveiling the Latent Space Geometry of Push-Forward Generative Models Thibaut Issenhuth Ugo Tanielian Jérémie Mary David Picard GAN DRL 29 3 0 21 Jul 2022
Lipschitz Bound Analysis of Neural Networks S. Bose AAML 32 0 0 14 Jul 2022
Contrastive Adapters for Foundation Model Group Robustness Michael Zhang Christopher Ré VLM 18 62 0 14 Jul 2022
Lipschitz Continuity Retained Binary Neural Network Yuzhang Shang Dan Xu Bin Duan Ziliang Zong Liqiang Nie Yan Yan 16 19 0 13 Jul 2022
On the Robustness and Anomaly Detection of Sparse Neural Networks Morgane Ayle Bertrand Charpentier John Rachwan Daniel Zügner Simon Geisler Stephan Günnemann AAML 55 3 0 09 Jul 2022
Can Push-forward Generative Models Fit Multimodal Distributions? Antoine Salmona Valentin De Bortoli J. Delon A. Desolneux DiffM 35 37 0 29 Jun 2022
Theoretical analysis of Adam using hyperparameters close to one without Lipschitz smoothness Hideaki Iiduka 20 5 0 27 Jun 2022
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions Zulqarnain Khan Davin Hill A. Masoomi Joshua Bone Jennifer Dy AAML 41 3 0 24 Jun 2022
Efficiently Training Low-Curvature Neural Networks Suraj Srinivas Kyle Matoba Himabindu Lakkaraju F. Fleuret AAML 23 15 0 14 Jun 2022
The robust way to stack and bag: the local Lipschitz way Thulasi Tholeti Sheetal Kalyani AAML 23 5 0 01 Jun 2022
Vision GNN: An Image is Worth Graph of Nodes Kai Han Yunhe Wang Jianyuan Guo Yehui Tang Enhua Wu GNN 3DH 19 356 0 01 Jun 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness Shujian Zhang Chengyue Gong Xingchao Liu Pengcheng He Weizhu Chen Mingyuan Zhou 27 26 0 10 May 2022
Robust Learning of Parsimonious Deep Neural Networks Valentin Frank Ingmar Guenter Athanasios Sideris 32 2 0 10 May 2022
Private measures, random walks, and synthetic data M. Boedihardjo Thomas Strohmer Roman Vershynin 23 0 0 20 Apr 2022
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees Wenying Deng Beau Coker Rajarshi Mukherjee J. Liu B. Coull 19 2 0 15 Apr 2022
Approximation of Lipschitz Functions using Deep Spline Neural Networks Sebastian Neumayer Alexis Goujon Pakshal Bohra M. Unser 37 16 0 13 Apr 2022
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures Jarom D. Hogue Robert M. Kirby A. Narayan 6 0 0 08 Apr 2022
A Differentially Private Framework for Deep Learning with Convexified Loss Functions Zhigang Lu Hassan Jameel Asghar M. Kâafar Darren Webb Peter Dickinson 77 15 0 03 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 37 13 0 02 Apr 2022
Comparative Analysis of Interval Reachability for Robust Implicit and Feedforward Neural Networks A. Davydov Saber Jafarpour Matthew Abate Francesco Bullo Samuel Coogan 20 3 0 01 Apr 2022
A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow Jenny Schmalfuss Philipp Scholze Andrés Bruhn AAML 32 19 0 24 Mar 2022
On the Properties of Adversarially-Trained CNNs Mattia Carletti M. Terzi Gian Antonio Susto AAML 32 1 0 17 Mar 2022
On the sensitivity of pose estimation neural networks: rotation parameterizations, Lipschitz constants, and provable bounds Trevor Avant K. Morgansen 11 1 0 16 Mar 2022
Deep Generative Models for Downlink Channel Estimation in FDD Massive MIMO Systems Javad Mirzaei Shahram Shahbaz Panahi R. Adve Navaneetha Gopal 27 4 0 09 Mar 2022
A Quantitative Geometric Approach to Neural-Network Smoothness Zehao Wang Gautam Prakriya S. Jha 43 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 38 4 0 01 Mar 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 34 13 0 26 Feb 2022
Learning Smooth Neural Functions via Lipschitz Regularization Hsueh-Ti Derek Liu Francis Williams Alec Jacobson Sanja Fidler Or Litany 27 96 0 16 Feb 2022
L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning Taisuke Kobayashi 26 15 0 15 Feb 2022