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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
Learning Long Range Dependencies on Graphs via Random Walks
Learning Long Range Dependencies on Graphs via Random Walks
Dexiong Chen
Till Hendrik Schulz
Karsten Borgwardt
86
6
0
05 Jun 2024
Hardness of Learning Neural Networks under the Manifold Hypothesis
Hardness of Learning Neural Networks under the Manifold Hypothesis
B. Kiani
Jason Wang
Melanie Weber
77
4
0
03 Jun 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
Nils Philipp Walter
Linara Adilova
Jilles Vreeken
Michael Kamp
AAML
108
2
0
27 May 2024
Consistency of Neural Causal Partial Identification
Consistency of Neural Causal Partial Identification
Jiyuan Tan
Jose Blanchet
Vasilis Syrgkanis
CML
109
0
0
24 May 2024
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
Nicholas H. Barbara
Ruigang Wang
I. Manchester
112
4
0
19 May 2024
Unlock the Power of Algorithm Features: A Generalization Analysis for
  Algorithm Selection
Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection
Xingyu Wu
Yan Zhong
Jibin Wu
Yuxiao Huang
Sheng-hao Wu
Kay Chen Tan
45
0
0
18 May 2024
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation
  Learning
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning
Jaejun Lee
Minsung Hwang
J. Whang
68
1
0
10 May 2024
Random Pareto front surfaces
Random Pareto front surfaces
Ben Tu
N. Kantas
Robert M. Lee
B. Shafei
92
2
0
02 May 2024
Lipschitz constant estimation for general neural network architectures
  using control tools
Lipschitz constant estimation for general neural network architectures using control tools
Patricia Pauli
Dennis Gramlich
Frank Allgöwer
96
4
0
02 May 2024
A Comparative Analysis of Adversarial Robustness for Quantum and
  Classical Machine Learning Models
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models
Maximilian Wendlinger
Kilian Tscharke
Pascal Debus
AAML
45
10
0
24 Apr 2024
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against
  Perturbation
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation
Xulin Chen
Ruipeng Liu
Garret E. Katz
74
0
0
22 Apr 2024
SDIP: Self-Reinforcement Deep Image Prior Framework for Image Processing
SDIP: Self-Reinforcement Deep Image Prior Framework for Image Processing
Ziyu Shu
Zhixin Pan
65
2
0
17 Apr 2024
From Robustness to Improved Generalization and Calibration in
  Pre-trained Language Models
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models
Josip Jukić
Jan Snajder
83
0
0
31 Mar 2024
CombiNeRF: A Combination of Regularization Techniques for Few-Shot
  Neural Radiance Field View Synthesis
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
107
3
0
21 Mar 2024
OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and
  Pruning
OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning
Xinyu Geng
Jiaming Wang
Jiawei Gong
Yuerong Xue
Jun Xu
Fanglin Chen
Xiaolin Huang
57
6
0
20 Mar 2024
Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural
  Network
Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Network
Ningyi Liao
Zihao Yu
Siqiang Luo
GNN
58
0
0
20 Mar 2024
CLOAF: CoLlisiOn-Aware Human Flow
CLOAF: CoLlisiOn-Aware Human Flow
Andrey Davydov
Martin Engilberge
Mathieu Salzmann
Pascal Fua
3DH
66
2
0
14 Mar 2024
Probabilistic Lipschitzness and the Stable Rank for Comparing
  Explanation Models
Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models
Lachlan Simpson
Kyle Millar
A. Cheng
Cheng-Chew Lim
Hong-Gunn Chew
BDLFAtt
94
2
0
29 Feb 2024
DecisionNCE: Embodied Multimodal Representations via Implicit Preference
  Learning
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&RoOffRL
93
10
0
28 Feb 2024
Spectrum Extraction and Clipping for Implicitly Linear Layers
Spectrum Extraction and Clipping for Implicitly Linear Layers
A. Boroojeny
Matus Telgarsky
Hari Sundaram
MLT
96
5
0
25 Feb 2024
Iteration and Stochastic First-order Oracle Complexities of Stochastic
  Gradient Descent using Constant and Decaying Learning Rates
Iteration and Stochastic First-order Oracle Complexities of Stochastic Gradient Descent using Constant and Decaying Learning Rates
Kento Imaizumi
Hideaki Iiduka
58
2
0
23 Feb 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular
  Time Series Data
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
YongKyung Oh
Dongyoung Lim
Sungil Kim
AI4TS
145
17
0
22 Feb 2024
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep
  Learning via Adversarial Training
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
126
5
0
19 Feb 2024
Robustness and Exploration of Variational and Machine Learning
  Approaches to Inverse Problems: An Overview
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview
Alexander Auras
Kanchana Vaishnavi Gandikota
Hannah Droege
Michael Moeller
AAML
72
0
0
19 Feb 2024
Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate
  Networks
Analyzing the Neural Tangent Kernel of Periodically Activated Coordinate Networks
Hemanth Saratchandran
Shin-Fang Chng
Simon Lucey
100
2
0
07 Feb 2024
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection
Enyan Dai
Min Lin
Suhang Wang
78
3
0
06 Feb 2024
Architectural Strategies for the optimization of Physics-Informed Neural
  Networks
Architectural Strategies for the optimization of Physics-Informed Neural Networks
Hemanth Saratchandran
Shin-Fang Chng
Simon Lucey
AI4CE
73
0
0
05 Feb 2024
INViT: A Generalizable Routing Problem Solver with Invariant Nested View
  Transformer
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer
Han Fang
Zhihao Song
Paul Weng
Yutong Ban
98
14
0
04 Feb 2024
MIQCQP reformulation of the ReLU neural networks Lipschitz constant
  estimation problem
MIQCQP reformulation of the ReLU neural networks Lipschitz constant estimation problem
Mohammed Sbihi
Sophie Jan
Nicolas P. Couellan
24
0
0
02 Feb 2024
Dropout-Based Rashomon Set Exploration for Efficient Predictive
  Multiplicity Estimation
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation
Hsiang Hsu
Guihong Li
Shaohan Hu
Chun-Fu Chen
Chen
60
6
0
01 Feb 2024
Spectral Norm of Convolutional Layers with Circular and Zero Paddings
Spectral Norm of Convolutional Layers with Circular and Zero Paddings
Blaise Delattre
Quentin Barthélemy
Alexandre Allauzen
62
2
0
31 Jan 2024
Dynamical Survival Analysis with Controlled Latent States
Dynamical Survival Analysis with Controlled Latent States
Linus Bleistein
Van-Tuan Nguyen
Adeline Fermanian
Agathe Guilloux
65
1
0
30 Jan 2024
Intriguing Equivalence Structures of the Embedding Space of Vision
  Transformers
Intriguing Equivalence Structures of the Embedding Space of Vision Transformers
Shaeke Salman
M. Shams
Xiuwen Liu
87
6
0
28 Jan 2024
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted
  Activations
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
119
4
0
25 Jan 2024
Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering Tasks
Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering Tasks
Zihao Wang
Zhe Wu
126
3
0
15 Jan 2024
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D
  Neural Radiance Fields
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields
GeonU Kim
Youwang Kim
Tae-Hyun Oh
3DH
74
4
0
10 Jan 2024
PAC-Bayes-Chernoff bounds for unbounded losses
PAC-Bayes-Chernoff bounds for unbounded losses
Ioar Casado
Luis A. Ortega
A. Masegosa
Aritz Pérez Martínez
113
6
0
02 Jan 2024
How Smooth Is Attention?
How Smooth Is Attention?
Valérie Castin
Pierre Ablin
Gabriel Peyré
AAML
109
11
0
22 Dec 2023
The Ultimate Combo: Boosting Adversarial Example Transferability by
  Composing Data Augmentations
The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations
Zebin Yun
Achi-Or Weingarten
Eyal Ronen
Mahmood Sharif
64
2
0
18 Dec 2023
SlimmeRF: Slimmable Radiance Fields
SlimmeRF: Slimmable Radiance Fields
Shiran Yuan
Hao Zhao
83
10
0
15 Dec 2023
Learned Regularization for Inverse Problems: Insights from a Spectral
  Model
Learned Regularization for Inverse Problems: Insights from a Spectral Model
Martin Burger
Samira Kabri
74
0
0
15 Dec 2023
STR-Cert: Robustness Certification for Deep Text Recognition on Deep
  Learning Pipelines and Vision Transformers
STR-Cert: Robustness Certification for Deep Text Recognition on Deep Learning Pipelines and Vision Transformers
Daqian Shao
Lukas Fesser
Marta Z. Kwiatkowska
53
0
0
28 Nov 2023
On diffusion-based generative models and their error bounds: The
  log-concave case with full convergence estimates
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
110
5
0
22 Nov 2023
Fair Wasserstein Coresets
Fair Wasserstein Coresets
Zikai Xiong
Niccolò Dalmasso
Shubham Sharma
Freddy Lecue
Daniele Magazzeni
Vamsi K. Potluru
T. Balch
Manuela Veloso
76
2
0
09 Nov 2023
RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection
RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection
Fengyi Wu
Tianfang Zhang
Lei Li
Yian Huang
Zhenming Peng
100
29
0
02 Nov 2023
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized
  Category Discovery
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery
Sarah Rastegar
Hazel Doughty
Cees G. M. Snoek
120
17
0
30 Oct 2023
Understanding and Improving Ensemble Adversarial Defense
Understanding and Improving Ensemble Adversarial Defense
Yian Deng
Tingting Mu
AAML
67
21
0
27 Oct 2023
DP-SGD with weight clipping
DP-SGD with weight clipping
Antoine Barczewski
Jan Ramon
94
1
0
27 Oct 2023
NECO: NEural Collapse Based Out-of-distribution detection
NECO: NEural Collapse Based Out-of-distribution detection
Mouin Ben Ammar
Nacim Belkhir
Sebastian Popescu
Antoine Manzanera
Gianni Franchi
OODD
72
20
0
10 Oct 2023
Tight Certified Robustness via Min-Max Representations of ReLU Neural
  Networks
Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks
Brendon G. Anderson
Samuel Pfrommer
Somayeh Sojoudi
OOD
108
2
0
07 Oct 2023
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