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
Random Pareto front surfaces Ben Tu N. Kantas Robert M. Lee B. Shafei 23 2 0 02 May 2024
Lipschitz constant estimation for general neural network architectures using control tools Patricia Pauli Dennis Gramlich Frank Allgöwer 41 4 0 02 May 2024
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models Maximilian Wendlinger Kilian Tscharke Pascal Debus AAML 18 8 0 24 Apr 2024
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation Xulin Chen Ruipeng Liu Garret E. Katz 44 0 0 22 Apr 2024
SDIP: Self-Reinforcement Deep Image Prior Framework for Image Processing Ziyu Shu Zhixin Pan 28 2 0 17 Apr 2024
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models Josip Jukić Jan Snajder 40 0 0 31 Mar 2024
CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis Matteo Bonotto Luigi Sarrocco D. Evangelista Marco Imperoli Alberto Pretto AI4CE 50 3 0 21 Mar 2024
OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning Xinyu Geng Jiaming Wang Jiawei Gong Yuerong Xue Jun Xu Fanglin Chen Xiaolin Huang 26 6 0 20 Mar 2024
Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Network Ningyi Liao Zihao Yu Siqiang Luo GNN 30 0 0 20 Mar 2024
CLOAF: CoLlisiOn-Aware Human Flow Andrey Davydov Martin Engilberge Mathieu Salzmann Pascal Fua 3DH 33 1 0 14 Mar 2024
Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models Lachlan Simpson Kyle Millar A. Cheng Cheng-Chew Lim Hong-Gunn Chew BDL FAtt 34 2 0 29 Feb 2024
DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning Jianxiong Li Jinliang Zheng Yinan Zheng Liyuan Mao Xiaoming Hu ... Jihao Liu Yu Liu Jingjing Liu Ya Zhang Xianyuan Zhan LM&Ro OffRL 37 8 0 28 Feb 2024
Spectrum Extraction and Clipping for Implicitly Linear Layers A. Boroojeny Matus Telgarsky Hari Sundaram MLT 37 5 0 25 Feb 2024
Iteration and Stochastic First-order Oracle Complexities of Stochastic Gradient Descent using Constant and Decaying Learning Rates Kento Imaizumi Hideaki Iiduka 27 2 0 23 Feb 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data YongKyung Oh Dongyoung Lim Sungil Kim AI4TS 43 13 0 22 Feb 2024
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training L. Park Jaeuk Kim Myung Gyo Oh Jaewoo Park T.-H. Kwon AAML 34 5 0 19 Feb 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 36 0 0 19 Feb 2024
Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks Hemanth Saratchandran Shin-Fang Chng Simon Lucey 24 2 0 07 Feb 2024
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection Enyan Dai Min Lin Suhang Wang 34 2 0 06 Feb 2024
Architectural Strategies for the optimization of Physics-Informed Neural Networks Hemanth Saratchandran Shin-Fang Chng Simon Lucey AI4CE 39 0 0 05 Feb 2024
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence Jiafei Lyu Le Wan Xiu Li Zongqing Lu CML OffRL 41 2 0 05 Feb 2024
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer Han Fang Zhihao Song Paul Weng Yutong Ban 39 10 0 04 Feb 2024
MIQCQP reformulation of the ReLU neural networks Lipschitz constant estimation problem Mohammed Sbihi Sophie Jan Nicolas P. Couellan 13 0 0 02 Feb 2024
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation Hsiang Hsu Guihong Li Shaohan Hu Chun-Fu Chen Chen 34 5 0 01 Feb 2024
Spectral Norm of Convolutional Layers with Circular and Zero Paddings Blaise Delattre Quentin Barthélemy Alexandre Allauzen 34 2 0 31 Jan 2024
Dynamical Survival Analysis with Controlled Latent States Linus Bleistein Van-Tuan Nguyen Adeline Fermanian Agathe Guilloux 39 1 0 30 Jan 2024
Intriguing Equivalence Structures of the Embedding Space of Vision Transformers Shaeke Salman M. Shams Xiuwen Liu 31 6 0 28 Jan 2024
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations Patricia Pauli Aaron J. Havens Alexandre Araujo Siddharth Garg Farshad Khorrami Frank Allgöwer Bin Hu 46 4 0 25 Jan 2024
Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering Tasks Zihao Wang Zhe Wu 25 3 0 15 Jan 2024
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields GeonU Kim Youwang Kim Tae-Hyun Oh 3DH 42 3 0 10 Jan 2024
PAC-Bayes-Chernoff bounds for unbounded losses Ioar Casado Luis A. Ortega A. Masegosa Aritz Pérez Martínez 31 6 0 02 Jan 2024
How Smooth Is Attention? Valérie Castin Pierre Ablin Gabriel Peyré AAML 40 9 0 22 Dec 2023
The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations Zebin Yun Achi-Or Weingarten Eyal Ronen Mahmood Sharif 28 2 0 18 Dec 2023
SlimmeRF: Slimmable Radiance Fields Shiran Yuan Hao Zhao 38 8 0 15 Dec 2023
Learned Regularization for Inverse Problems: Insights from a Spectral Model Martin Burger Samira Kabri 30 0 0 15 Dec 2023
STR-Cert: Robustness Certification for Deep Text Recognition on Deep Learning Pipelines and Vision Transformers Daqian Shao Lukas Fesser Marta Z. Kwiatkowska 36 0 0 28 Nov 2023
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates Stefano Bruno Ying Zhang Dong-Young Lim Ömer Deniz Akyildiz Sotirios Sabanis DiffM 33 4 0 22 Nov 2023
Fair Wasserstein Coresets Zikai Xiong Niccolò Dalmasso Shubham Sharma Freddy Lecue Daniele Magazzeni Vamsi K. Potluru T. Balch Manuela Veloso 34 2 0 09 Nov 2023
RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection Fengyi Wu Tianfang Zhang Lei Li Yian Huang Zhenming Peng 34 22 0 02 Nov 2023
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery Sarah Rastegar Hazel Doughty Cees G. M. Snoek 38 15 0 30 Oct 2023
Understanding and Improving Ensemble Adversarial Defense Yian Deng Tingting Mu AAML 24 19 0 27 Oct 2023
DP-SGD with weight clipping Antoine Barczewski Jan Ramon 11 1 0 27 Oct 2023
NECO: NEural Collapse Based Out-of-distribution detection Mouin Ben Ammar Nacim Belkhir Sebastian Popescu Antoine Manzanera Gianni Franchi OODD 37 18 0 10 Oct 2023
Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks Brendon G. Anderson Samuel Pfrommer Somayeh Sojoudi OOD 34 1 0 07 Oct 2023
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control Neehal Tumma Mathias Lechner Noel Loo Ramin Hasani Daniela Rus 38 0 0 05 Oct 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 16 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 19 0 0 15 Sep 2023
Certified Robust Models with Slack Control and Large Lipschitz Constants M. Losch David Stutz Bernt Schiele Mario Fritz 14 4 0 12 Sep 2023
Instabilities in Convnets for Raw Audio Daniel Haider Vincent Lostanlen Martin Ehler Péter Balázs 23 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 29 5 0 23 Aug 2023