Regularisation of Neural Networks by Enforcing Lipschitz Continuity

12 April 2018

Papers citing "Regularisation of Neural Networks by Enforcing Lipschitz Continuity"

50 / 95 papers shown

Title
A Formally Verified Robustness Certifier for Neural Networks (Extended Version) James Tobler Hira Taqdees Syeda Toby Murray AAML 29 0 0 11 May 2025
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification Kumar Manas Christian Schlauch Adrian Paschke Christian Wirth Nadja Klein 40 0 0 17 Apr 2025
Minimum Description Length of a Spectrum Variational Autoencoder: A Theory Canlin Zhang Xiuwen Liu 45 0 0 01 Apr 2025
CeTAD: Towards Certified Toxicity-Aware Distance in Vision Language Models Xiangyu Yin Jiaxu Liu Zhen Chen Jinwei Hu Yi Dong Xiaowei Huang Wenjie Ruan AAML 50 0 0 08 Mar 2025
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images Xiaoge Zhang Tao Wang Chao Yan Fedaa Najdawi Kai Zhou Yuan Ma Yiu-ming Cheung Bradley Malin MedIm 42 0 0 03 Jan 2025
OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference Dujian Ding Bicheng Xu L. Lakshmanan VLM 44 1 0 06 Jun 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective Nils Philipp Walter Linara Adilova Jilles Vreeken Michael Kamp AAML 48 2 0 27 May 2024
Consistency of Neural Causal Partial Identification Jiyuan Tan Jose Blanchet Vasilis Syrgkanis CML 32 0 0 24 May 2024
Hidden Synergy: $L_1$ Weight Normalization and 1-Path-Norm Regularization Aditya Biswas 41 0 0 29 Apr 2024
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models Josip Jukić Jan Snajder 37 0 0 31 Mar 2024
$H$ -Consistency Guarantees for Regression Anqi Mao M. Mohri Yutao Zhong 33 9 0 28 Mar 2024
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations Rui She Sijie Wang Qiyu Kang Kai Zhao Yang Song Wee Peng Tay Tianyu Geng Xingchao Jian DiffM 3DPC 41 2 0 06 Jan 2024
$Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks$ Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks Buqing Nie Jingtian Ji Yangqing Fu Yue Gao 45 4 0 14 Dec 2023
DP-SGD with weight clipping Antoine Barczewski Jan Ramon 11 1 0 27 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
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods A. Ma Yangchen Pan Amir-massoud Farahmand AAML 25 5 0 13 Aug 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces Stratis Tsirtsis Manuel Gomez Rodriguez CML OffRL 30 9 0 06 Jun 2023
On the Adversarial Inversion of Deep Biometric Representations Gioacchino Tangari Shreesh Keskar Hassan Jameel Asghar Dali Kaafar AAML 34 2 0 12 Apr 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 29 9 0 28 Mar 2023
Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian Patricia Pauli Ruigang Wang I. Manchester Frank Allgöwer 32 8 0 20 Mar 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 32 8 0 17 Mar 2023
Injectivity of ReLU networks: perspectives from statistical physics Antoine Maillard Afonso S. Bandeira David Belius Ivan Dokmanić S. Nakajima 28 5 0 27 Feb 2023
Estimating Treatment Effects in Continuous Time with Hidden Confounders Defu Cao James Enouen Yong Liu CML 35 2 0 19 Feb 2023
Online Detection of Changes in Moment-Based Projections: When to Retrain Deep Learners or Update Portfolios? A. Steland 31 0 0 14 Feb 2023
On the Ideal Number of Groups for Isometric Gradient Propagation Bum Jun Kim Hyeyeon Choi Hyeonah Jang Sang Woo Kim 32 1 0 07 Feb 2023
On the Lipschitz Constant of Deep Networks and Double Descent Matteo Gamba Hossein Azizpour Marten Bjorkman 33 7 0 28 Jan 2023
A survey and taxonomy of loss functions in machine learning Lorenzo Ciampiconi A. Elwood Marco Leonardi A. Mohamed A. Rozza MU FaML 11 26 0 13 Jan 2023
Stretched and measured neural predictions of complex network dynamics V. Vasiliauskaite Nino Antulov-Fantulin 33 1 0 12 Jan 2023
Effects of Spectral Normalization in Multi-agent Reinforcement Learning K. Mehta Anuj Mahajan Kiran Ravish 24 7 0 10 Dec 2022
Proximal Residual Flows for Bayesian Inverse Problems J. Hertrich BDL TPM 39 4 0 30 Nov 2022
CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation Amro Eldebiky Grace Li Zhang G. Böcherer Bing Li Ulf Schlichtmann 47 15 0 27 Nov 2022
Improved techniques for deterministic l2 robustness Sahil Singla S. Feizi AAML 23 9 0 15 Nov 2022
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time Haoshu Fang Jiefeng Li Hongyang Tang Chaoshun Xu Haoyi Zhu Yuliang Xiu Yong-Lu Li Cewu Lu 3DH 54 404 0 07 Nov 2022
Instance-Dependent Generalization Bounds via Optimal Transport Songyan Hou Parnian Kassraie Anastasis Kratsios Andreas Krause Jonas Rothfuss 22 6 0 02 Nov 2022
ReachLipBnB: A branch-and-bound method for reachability analysis of neural autonomous systems using Lipschitz bounds Taha Entesari Sina Sharifi Mahyar Fazlyab 41 6 0 01 Nov 2022
Finding NEEMo: Geometric Fitting using Neural Estimation of the Energy Mover's Distance O. Kitouni Niklas Nolte Mike Williams 26 8 0 30 Sep 2022
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks Bernd Prach Christoph H. Lampert 32 35 0 05 Aug 2022
Contrastive Adapters for Foundation Model Group Robustness Michael Zhang Christopher Ré VLM 18 62 0 14 Jul 2022
DLME: Deep Local-flatness Manifold Embedding Z. Zang Siyuan Li Di Wu Ge Wang Lei Shang Baigui Sun Haoyang Li Stan Z. Li 26 24 0 07 Jul 2022
Efficiently Training Low-Curvature Neural Networks Suraj Srinivas Kyle Matoba Himabindu Lakkaraju F. Fleuret AAML 23 15 0 14 Jun 2022
Invertible Neural Networks for Graph Prediction Chen Xu Xiuyuan Cheng Yao Xie GNN 28 9 0 02 Jun 2022
Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks Wentao Yu Yifei Shen Hengtao He Xianghao Yu Jun Zhang Khaled B. Letaief 32 29 0 10 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 26 48 0 01 May 2022
Approximation of Lipschitz Functions using Deep Spline Neural Networks Sebastian Neumayer Alexis Goujon Pakshal Bohra M. Unser 37 16 0 13 Apr 2022
$Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete$ Training Fully Connected Neural Networks is $\exists\mathbb{R}$ -Complete Daniel Bertschinger Christoph Hertrich Paul Jungeblut Tillmann Miltzow Simon Weber OffRL 61 30 0 04 Apr 2022
A Differentially Private Framework for Deep Learning with Convexified Loss Functions Zhigang Lu Hassan Jameel Asghar M. Kâafar Darren Webb Peter Dickinson 74 15 0 03 Apr 2022
Infinite-Horizon Reach-Avoid Zero-Sum Games via Deep Reinforcement Learning Jingqi Li Donggun Lee Somayeh Sojoudi Claire Tomlin 15 11 0 18 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
L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning Taisuke Kobayashi 26 15 0 15 Feb 2022