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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
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control Neehal Tumma Mathias Lechner Noel Loo Ramin Hasani Daniela Rus 96 1 0 05 Oct 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 113 11 0 29 Sep 2023
A Theoretical and Empirical Study on the Convergence of Adam with an "Exact" Constant Step Size in Non-Convex Settings Alokendu Mazumder Rishabh Sabharwal Manan Tayal Bhartendu Kumar Punit Rathore 44 0 0 15 Sep 2023
Certified Robust Models with Slack Control and Large Lipschitz Constants M. Losch David Stutz Bernt Schiele Mario Fritz 46 4 0 12 Sep 2023
Instabilities in Convnets for Raw Audio Daniel Haider Vincent Lostanlen Martin Ehler Péter Balázs 47 2 0 11 Sep 2023
Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch Pan Du Suyun Zhao Zisen Sheng Cuiping Li Hong Chen 62 8 0 23 Aug 2023
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods A. Ma Yangchen Pan Amir-massoud Farahmand AAML 61 7 0 13 Aug 2023
Relationship between Batch Size and Number of Steps Needed for Nonconvex Optimization of Stochastic Gradient Descent using Armijo Line Search Yuki Tsukada Hideaki Iiduka 51 0 0 25 Jul 2023
On minimizing the training set fill distance in machine learning regression Paolo Climaco Jochen Garcke 47 1 0 20 Jul 2023
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks Shiwei Ding Lan Zhang Miao Pan Xiaoyong Yuan AAML 82 6 0 20 Jul 2023
Syntactic vs Semantic Linear Abstraction and Refinement of Neural Networks Calvin Chau Jan Křetínský S. Mohr NAI 79 1 0 20 Jul 2023
Designing Stable Neural Networks using Convex Analysis and ODEs Ferdia Sherry E. Celledoni Matthias Joachim Ehrhardt Davide Murari B. Owren Carola-Bibiane Schönlieb 108 12 0 29 Jun 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems Truong X. Nghiem Ján Drgoňa Colin N. Jones Zoltán Nagy Roland Schwan ... J. Paulson Andrea Carron Melanie Zeilinger Wenceslao Shaw-Cortez D. Vrabie PINN AI4CE 110 31 0 24 Jun 2023
On the Global Convergence of Natural Actor-Critic with Two-layer Neural Network Parametrization Mudit Gaur Amrit Singh Bedi Di-di Wang Vaneet Aggarwal 84 3 0 18 Jun 2023
On the Robustness of Removal-Based Feature Attributions Christy Lin Ian Covert Su-In Lee 118 13 0 12 Jun 2023
Generalization Across Observation Shifts in Reinforcement Learning Anuj Mahajan Amy Zhang OOD OffRL 44 0 0 07 Jun 2023
Adversarial Sample Detection Through Neural Network Transport Dynamics Skander Karkar Patrick Gallinari A. Rakotomamonjy AAML 47 1 0 07 Jun 2023
Uniform Convergence of Deep Neural Networks with Lipschitz Continuous Activation Functions and Variable Widths Yuesheng Xu Haizhang Zhang 132 3 0 02 Jun 2023
On the Generalization and Approximation Capacities of Neural Controlled Differential Equations Linus Bleistein Agathe Guilloux 150 1 0 26 May 2023
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance Congyue Deng Jiahui Lei Bokui Shen Kostas Daniilidis Leonidas Guibas 3DPC 90 20 0 25 May 2023
DP-SGD Without Clipping: The Lipschitz Neural Network Way Louis Bethune Thomas Massena Thibaut Boissin Yannick Prudent Corentin Friedrich Franck Mamalet A. Bellet M. Serrurier David Vigouroux 96 9 0 25 May 2023
Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration Blaise Delattre Quentin Barthélemy Alexandre Araujo A. Allauzen 48 13 0 25 May 2023
Feature-aligned N-BEATS with Sinkhorn divergence Joon-Young Lee Myeongho Jeon Myung-joo Kang Kyung-soon Park AI4TS 55 0 0 24 May 2023
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint Wei Liu Jun Wang Yining Qi Rui Li Yang Qiu Yuankai Zhang Jie Han Yixiong Zou 97 14 0 23 May 2023
Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems Luzhe Huang Jianing Li Xiaofu Ding Yijie Zhang Hanlong Chen Aydogan Ozcan UQCV 57 2 0 22 May 2023
Towards Understanding the Generalization of Graph Neural Networks Huayi Tang Y. Liu GNN AI4CE 95 32 0 14 May 2023
Spiking Network Initialisation and Firing Rate Collapse Nicolas Perez Nieves Dan F. M. Goodman 92 2 0 13 May 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information Kiwan Maeng Chuan Guo Sanjay Kariyappa G. E. Suh 75 8 0 06 May 2023
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 160 37 0 29 Apr 2023
LipsFormer: Introducing Lipschitz Continuity to Vision Transformers Xianbiao Qi Jianan Wang Yihao Chen Yukai Shi Lei Zhang 98 20 0 19 Apr 2023
Parameterized Neural Networks for Finance Daniel Oeltz J. Hamaekers Kay F. Pilz 18 0 0 18 Apr 2023
On the Adversarial Inversion of Deep Biometric Representations Gioacchino Tangari Shreesh Keskar Hassan Jameel Asghar Dali Kaafar AAML 71 2 0 12 Apr 2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection Nicola Franco Daniel Korth J. Lorenz Karsten Roscher Stephan Guennemann 60 5 0 27 Mar 2023
Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization Zicheng Zhang Yinglu Liu Congying Han Yingwei Pan Tiande Guo Ting Yao 69 14 0 23 Mar 2023
CoRTX: Contrastive Framework for Real-time Explanation Yu-Neng Chuang Guanchu Wang Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Helen Zhou 91 20 0 05 Mar 2023
A Survey on Uncertainty Quantification Methods for Deep Learning Wenchong He Zhe Jiang Tingsong Xiao Zelin Xu Yukun Li BDL UQCV AI4CE 193 24 0 26 Feb 2023
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks Grigory Khromov Sidak Pal Singh 155 8 0 21 Feb 2023
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data Minshuo Chen Kaixuan Huang Tuo Zhao Mengdi Wang DiffM 71 108 0 14 Feb 2023
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts H. Bui Anqi Liu OOD UQCV 185 6 0 13 Feb 2023
Asymmetric Certified Robustness via Feature-Convex Neural Networks Samuel Pfrommer Brendon G. Anderson Julien Piet Somayeh Sojoudi AAML 90 8 0 03 Feb 2023
Interpretations of Domain Adaptations via Layer Variational Analysis Huan-Hsin Tseng Hsin-Yi Lin Kuo-Hsuan Hung Yu Tsao FAtt 63 4 0 03 Feb 2023
Continuous U-Net: Faster, Greater and Noiseless Chunyang Cheng Christina Runkel Lihao Liu Raymond H. F. Chan Carola-Bibiane Schönlieb Angelica I Aviles-Rivero SSeg 80 10 0 01 Feb 2023
CertViT: Certified Robustness of Pre-Trained Vision Transformers K. Gupta S. Verma ViT 60 5 0 01 Feb 2023
Towards Verifying the Geometric Robustness of Large-scale Neural Networks Fu Lee Wang Peipei Xu Wenjie Ruan Xiaowei Huang AAML 148 10 0 29 Jan 2023
On the Lipschitz Constant of Deep Networks and Double Descent Matteo Gamba Hossein Azizpour Mårten Björkman 98 7 0 28 Jan 2023
Direct Parameterization of Lipschitz-Bounded Deep Networks Ruigang Wang I. Manchester 129 47 0 27 Jan 2023
A Structural Approach to the Design of Domain Specific Neural Network Architectures Gerrit Nolte 30 0 0 23 Jan 2023
A survey and taxonomy of loss functions in machine learning Lorenzo Ciampiconi A. Elwood Marco Leonardi A. Mohamed A. Rozza MU FaML 57 29 0 13 Jan 2023
Mixed moving average field guided learning for spatio-temporal data I. Curato O. Furat Lorenzo Proietti Bennet Stroeh AI4TS 106 2 0 02 Jan 2023
Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty Genki Osada Tsubasa Takahashi Budrul Ahsan Takashi Nishide OODD 98 14 0 24 Dec 2022