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Lipschitz regularity of deep neural networks: analysis and efficient
  estimation
v1v2 (latest)

Lipschitz regularity of deep neural networks: analysis and efficient estimation

28 May 2018
Kevin Scaman
Aladin Virmaux
ArXiv (abs)PDFHTML

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

50 / 333 papers shown
Title
TTrace: Lightweight Error Checking and Diagnosis for Distributed Training
Haitian Jiang
Shaowei Zhu
Zhen Zhang
Zhenyu Song
Xinwei Fu
Zhen Jia
Yida Wang
Jinyang Li
39
0
0
10 Jun 2025
Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
Thomas Massena
Léo Andéol
Thibaut Boissin
Franck Mamalet
Corentin Friedrich
M. Serrurier
Sébastien Gerchinovitz
AAML
39
2
0
05 Jun 2025
SVarM: Linear Support Varifold Machines for Classification and Regression on Geometric Data
SVarM: Linear Support Varifold Machines for Classification and Regression on Geometric Data
Emmanuel Hartman
N. Charon
46
0
0
01 Jun 2025
Rethinking Neural-based Matrix Inversion: Why can't, and Where can
Rethinking Neural-based Matrix Inversion: Why can't, and Where can
Yuliang Ji
Jian Wu
Yuanzhe Xi
23
0
0
31 May 2025
An Optimisation Framework for Unsupervised Environment Design
An Optimisation Framework for Unsupervised Environment Design
Nathan Monette
Alistair Letcher
Michael Beukman
Matthew Jackson
Alexander Rutherford
Alexander David Goldie
Jakob N. Foerster
65
0
0
27 May 2025
Sampling Strategies for Efficient Training of Deep Learning Object Detection Algorithms
Sampling Strategies for Efficient Training of Deep Learning Object Detection Algorithms
Gefei Shen
Yung-Hong Sun
Yu Hen Hu
Hongrui Jiang
40
0
0
23 May 2025
Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss
Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss
Bo-Han Lai
Pin-Han Huang
Bo-Han Kung
Shang-Tse Chen
70
0
0
21 May 2025
Super-fast rates of convergence for Neural Networks Classifiers under the Hard Margin Condition
Super-fast rates of convergence for Neural Networks Classifiers under the Hard Margin Condition
Nathanael Tepakbong
Ding-Xuan Zhou
Xiang Zhou
170
0
0
13 May 2025
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
Beyond Low-rank Decomposition: A Shortcut Approach for Efficient On-Device Learning
Le-Trung Nguyen
Ael Quélennec
Van-Tam Nguyen
Enzo Tartaglione
92
0
0
08 May 2025
Probabilistic Stability Guarantees for Feature Attributions
Probabilistic Stability Guarantees for Feature Attributions
Helen Jin
Anton Xue
Weiqiu You
Surbhi Goel
Eric Wong
157
1
0
18 Apr 2025
Hadamard product in deep learning: Introduction, Advances and Challenges
Hadamard product in deep learning: Introduction, Advances and Challenges
Grigorios G. Chrysos
Yongtao Wu
Razvan Pascanu
Philip Torr
Volkan Cevher
AAML
170
2
0
17 Apr 2025
Bridging the Theoretical Gap in Randomized Smoothing
Bridging the Theoretical Gap in Randomized Smoothing
Blaise Delattre
Paul Caillon
Quentin Barthélemy
Erwan Fagnou
Alexandre Allauzen
AAML
157
0
0
03 Apr 2025
Image Coding for Machines via Feature-Preserving Rate-Distortion Optimization
Image Coding for Machines via Feature-Preserving Rate-Distortion Optimization
Samuel Fernández-Menduiña
Eduardo Pavez
Antonio Ortega
85
0
0
03 Apr 2025
Skip-Vision: Efficient and Scalable Acceleration of Vision-Language Models via Adaptive Token Skipping
Skip-Vision: Efficient and Scalable Acceleration of Vision-Language Models via Adaptive Token Skipping
Weili Zeng
Ziyuan Huang
Kaixiang Ji
Yichao Yan
VLM
240
1
0
26 Mar 2025
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality
Ruijia Zhang
Siliang Zeng
Chenliang Li
Alfredo García
Mingyi Hong
108
0
0
22 Mar 2025
HiQ-Lip: The First Quantum-Classical Hierarchical Method for Global Lipschitz Constant Estimation of ReLU Networks
HiQ-Lip: The First Quantum-Classical Hierarchical Method for Global Lipschitz Constant Estimation of ReLU Networks
Haoqi He
Yan Xiao
76
0
0
20 Mar 2025
Scaled Supervision is an Implicit Lipschitz Regularizer
Scaled Supervision is an Implicit Lipschitz Regularizer
Z. Ouyang
Chunhui Zhang
Yaning Jia
Soroush Vosoughi
BDLOffRL
126
1
0
19 Mar 2025
Improved Scalable Lipschitz Bounds for Deep Neural Networks
Improved Scalable Lipschitz Bounds for Deep Neural Networks
U. Syed
Bin Hu
BDL
97
0
0
18 Mar 2025
FPGS: Feed-Forward Semantic-aware Photorealistic Style Transfer of Large-Scale Gaussian Splatting
GeonU Kim
Kim Youwang
Lee Hyoseok
Tae-Hyun Oh
3DGS
105
0
0
11 Mar 2025
Cooperative Bearing-Only Target Pursuit via Multiagent Reinforcement Learning: Design and Experiment
Cooperative Bearing-Only Target Pursuit via Multiagent Reinforcement Learning: Design and Experiment
Jianan Li
Ziyi Wang
Susheng Ding
Shiliang Guo
Shiyu Zhao
121
0
0
11 Mar 2025
RSQ: Learning from Important Tokens Leads to Better Quantized LLMs
Yi-Lin Sung
Prateek Yadav
Jialu Li
Jaehong Yoon
Joey Tianyi Zhou
MQ
101
1
0
03 Mar 2025
On Space Folds of ReLU Neural Networks
On Space Folds of ReLU Neural Networks
Michal Lewandowski
Hamid Eghbalzadeh
Bernhard Heinzl
Raphael Pisoni
Bernhard A.Moser
MLT
166
2
0
17 Feb 2025
"Efficient Complexity": a Constrained Optimization Approach to the Evolution of Natural Intelligence
"Efficient Complexity": a Constrained Optimization Approach to the Evolution of Natural Intelligence
Serge Dolgikh
100
0
0
31 Dec 2024
Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker
Imitation Learning from Suboptimal Demonstrations via Meta-Learning An Action Ranker
Jiangdong Fan
Hongcai He
Paul Weng
Hui Xu
Jie Shao
81
1
0
31 Dec 2024
Learning Set Functions with Implicit Differentiation
Learning Set Functions with Implicit Differentiation
Gözde Özcan
Chengzhi Shi
Stratis Ioannidis
101
0
0
15 Dec 2024
Set-Valued Sensitivity Analysis of Deep Neural Networks
Set-Valued Sensitivity Analysis of Deep Neural Networks
Xin Wang
Feiling wang
X. Ban
85
0
0
15 Dec 2024
Multi-Surrogate-Teacher Assistance for Representation Alignment in
  Fingerprint-based Indoor Localization
Multi-Surrogate-Teacher Assistance for Representation Alignment in Fingerprint-based Indoor Localization
Son Minh Nguyen
Linh Duy Tran
Duc Viet Le
Paul J. M Havinga
89
0
0
13 Dec 2024
Training MLPs on Graphs without Supervision
Training MLPs on Graphs without Supervision
Zehong Wang
Zheyuan Zhang
Chuxu Zhang
Yanfang Ye
125
10
0
05 Dec 2024
Inverse Delayed Reinforcement Learning
Inverse Delayed Reinforcement Learning
S. Zhan
Qingyuan Wu
Zhian Ruan
Frank Yang
Philip Wang
Yixuan Wang
Ruochen Jiao
Chao Huang
Qi Zhu
132
0
0
04 Dec 2024
Inference Privacy: Properties and Mechanisms
Inference Privacy: Properties and Mechanisms
Fengwei Tian
Ravi Tandon
141
0
0
27 Nov 2024
Curvature Informed Furthest Point Sampling
Curvature Informed Furthest Point Sampling
Shubham Bhardwaj
Ashwin Vinod
Soumojit Bhattacharya
Aryan Koganti
Aditya Sai Ellendula
Balakrishna Reddy
3DPC
109
0
0
25 Nov 2024
A Tunable Despeckling Neural Network Stabilized via Diffusion Equation
A Tunable Despeckling Neural Network Stabilized via Diffusion Equation
Yi Ran
Zhichang Guo
Jia Li
Yao Li
Martin Burger
Boying Wu
DiffM
103
0
0
24 Nov 2024
Achieving Domain-Independent Certified Robustness via Knowledge
  Continuity
Achieving Domain-Independent Certified Robustness via Knowledge Continuity
Alan Sun
Chiyu Ma
Kenneth Ge
Soroush Vosoughi
61
1
0
03 Nov 2024
CausAdv: A Causal-based Framework for Detecting Adversarial Examples
CausAdv: A Causal-based Framework for Detecting Adversarial Examples
Hichem Debbi
CMLAAML
77
1
0
29 Oct 2024
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via
  Dissipative Layers
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers
Patricia Pauli
Ruigang Wang
I. Manchester
Frank Allgöwer
78
2
0
29 Oct 2024
A Fresh Look at Generalized Category Discovery through Non-negative
  Matrix Factorization
A Fresh Look at Generalized Category Discovery through Non-negative Matrix Factorization
Zhong Ji
Steve Yang
Jingren Liu
Yanwei Pang
Jungong Han
125
1
0
29 Oct 2024
Computable Lipschitz Bounds for Deep Neural Networks
Computable Lipschitz Bounds for Deep Neural Networks
Moreno Pintore
Bruno Després
47
1
0
28 Oct 2024
Learning to Optimize for Mixed-Integer Non-linear Programming
Learning to Optimize for Mixed-Integer Non-linear Programming
Bo Tang
Elias Boutros Khalil
Ján Drgoňa
116
2
0
14 Oct 2024
Continuous Ensemble Weather Forecasting with Diffusion models
Continuous Ensemble Weather Forecasting with Diffusion models
Martin Andrae
Tomas Landelius
Joel Oskarsson
Fredrik Lindsten
AI4Cl
88
4
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07 Oct 2024
Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers
Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers
Ekaterina Grishina
Mikhail Gorbunov
Maxim Rakhuba
AAML
65
3
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18 Sep 2024
Bounds on the Generalization Error in Active Learning
Bounds on the Generalization Error in Active Learning
Vincent Menden
Yahya Saleh
Armin Iske
29
0
0
10 Sep 2024
Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts
Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts
Youngseog Chung
Dhruv Malik
J. Schneider
Yuanzhi Li
Aarti Singh
MoE
111
1
0
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Understanding Data Reconstruction Leakage in Federated Learning from a
  Theoretical Perspective
Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective
Zifan Wang
Binghui Zhang
Meng Pang
Yuan Hong
Binghui Wang
FedML
74
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0
22 Aug 2024
Gradient-based Regularization for Action Smoothness in Robotic Control
  with Reinforcement Learning
Gradient-based Regularization for Action Smoothness in Robotic Control with Reinforcement Learning
I. Lee
Hoang-Giang Cao
Cong-Tinh Dao
Yu-Cheng Chen
I-Chen Wu
54
0
0
05 Jul 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in
  Deep Robust Classifiers
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
Jonas Ngnawé
Sabyasachi Sahoo
Y. Pequignot
Frédéric Precioso
Christian Gagné
AAML
78
0
0
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Sparsifying dimensionality reduction of PDE solution data with Bregman
  learning
Sparsifying dimensionality reduction of PDE solution data with Bregman learning
T. J. Heeringa
Christoph Brune
Mengwu Guo
62
0
0
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1-Lipschitz Neural Distance Fields
1-Lipschitz Neural Distance Fields
Guillaume Coiffier
Louis Bethune
114
4
0
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On the Robustness of Global Feature Effect Explanations
On the Robustness of Global Feature Effect Explanations
Hubert Baniecki
Giuseppe Casalicchio
Bernd Bischl
Przemyslaw Biecek
94
2
0
13 Jun 2024
A Mathematical Certification for Positivity Conditions in Neural
  Networks with Applications to Partial Monotonicity and Ethical AI
A Mathematical Certification for Positivity Conditions in Neural Networks with Applications to Partial Monotonicity and Ethical AI
Alejandro Polo-Molina
David Alfaya
José M. Portela
53
1
0
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Reinforced Compressive Neural Architecture Search for Versatile
  Adversarial Robustness
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness
Dingrong Wang
Hitesh Sapkota
Zhiqiang Tao
Qi Yu
AAML
63
1
0
10 Jun 2024
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