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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 / 333 papers shown

Title
Temporal Output Discrepancy for Loss Estimation-based Active Learning Siyu Huang Tianyang Wang Haoyi Xiong Bihan Wen Jun Huan Dejing Dou UQCV 69 6 0 20 Dec 2022
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance Dohyun Kwon Ying Fan Kangwook Lee DiffM 74 54 0 13 Dec 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference Nikita Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 89 10 0 21 Nov 2022
Provable Defense against Backdoor Policies in Reinforcement Learning S. Bharti Xuezhou Zhang Adish Singla Xiaojin Zhu AAML 72 23 0 18 Nov 2022
Universal Time-Uniform Trajectory Approximation for Random Dynamical Systems with Recurrent Neural Networks A. Bishop 83 1 0 15 Nov 2022
On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization Mudit Gaur Vaneet Aggarwal Mridul Agarwal MLT 109 1 0 14 Nov 2022
Neural PDE Solvers for Irregular Domains Biswajit Khara Ethan Herron Zhanhong Jiang Aditya Balu Chih-Hsuan Yang ... Anushrut Jignasu Soumik Sarkar Chinmay Hegde A. Krishnamurthy Baskar Ganapathysubramanian AI4CE 50 9 0 07 Nov 2022
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations Giannis Nikolentzos Michail Chatzianastasis Michalis Vazirgiannis 53 8 0 04 Nov 2022
Isometric Representations in Neural Networks Improve Robustness Kosio Beshkov Jonas Verhellen M. Lepperød AAML OOD 61 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 84 13 0 28 Oct 2022
A Policy-Guided Imitation Approach for Offline Reinforcement Learning Haoran Xu Li Jiang Jianxiong Li Xianyuan Zhan OffRL 149 64 0 15 Oct 2022
Zonotope Domains for Lagrangian Neural Network Verification Matt Jordan J. Hayase A. Dimakis Sewoong Oh 83 3 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 156 42 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 72 48 0 12 Oct 2022
On the Importance of Gradient Norm in PAC-Bayesian Bounds Itai Gat Yossi Adi Alex Schwing Tamir Hazan BDL 97 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 37 4 0 10 Oct 2022
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks Ching-Yao Chuang Stefanie Jegelka OOD 116 38 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 50 22 0 04 Oct 2022
Polynomial-Time Reachability for LTI Systems with Two-Level Lattice Neural Network Controllers James Ferlez Yasser Shoukry 41 2 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 162 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 77 15 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 64 6 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 60 4 0 21 Aug 2022
Delaunay-Triangulation-Based Learning with Hessian Total-Variation Regularization Mehrsa Pourya Alexis Goujon M. Unser 57 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 62 1 0 08 Aug 2022
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks Bernd Prach Christoph H. Lampert 107 37 0 05 Aug 2022
Stable Parallel Training of Wasserstein Conditional Generative Adversarial Neural Networks Massimiliano Lupo Pasini Junqi Yin GAN 50 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 64 3 0 21 Jul 2022
Lipschitz Bound Analysis of Neural Networks S. Bose AAML 59 0 0 14 Jul 2022
Contrastive Adapters for Foundation Model Group Robustness Michael Zhang Christopher Ré VLM 54 64 0 14 Jul 2022
Lipschitz Continuity Retained Binary Neural Network Yuzhang Shang Dan Xu Bin Duan Ziliang Zong Liqiang Nie Yan Yan 84 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 81 3 0 09 Jul 2022
Can Push-forward Generative Models Fit Multimodal Distributions? Antoine Salmona Valentin De Bortoli J. Delon A. Desolneux DiffM 90 39 0 29 Jun 2022
Theoretical analysis of Adam using hyperparameters close to one without Lipschitz smoothness Hideaki Iiduka 71 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 138 4 0 24 Jun 2022
Efficiently Training Low-Curvature Neural Networks Suraj Srinivas Kyle Matoba Himabindu Lakkaraju François Fleuret AAML 92 16 0 14 Jun 2022
The robust way to stack and bag: the local Lipschitz way Thulasi Tholeti Sheetal Kalyani AAML 47 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 116 373 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 100 26 0 10 May 2022
Robust Learning of Parsimonious Deep Neural Networks Valentin Frank Ingmar Guenter Athanasios Sideris 64 2 0 10 May 2022
Private measures, random walks, and synthetic data M. Boedihardjo Thomas Strohmer Roman Vershynin 48 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 63 2 0 15 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
Weight Matrix Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures Jarom D. Hogue Robert M. Kirby A. Narayan 61 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 94 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 134 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 34 3 0 01 Apr 2022
A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow Jenny Schmalfuss Philipp Scholze Andrés Bruhn AAML 81 19 0 24 Mar 2022
On the Properties of Adversarially-Trained CNNs Mattia Carletti M. Terzi Gian Antonio Susto AAML 59 1 0 17 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