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Lipschitz regularity of deep neural networks: analysis and efficient
  estimation

Lipschitz regularity of deep neural networks: analysis and efficient estimation

28 May 2018
Kevin Scaman
Aladin Virmaux
ArXivPDFHTML

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

50 / 328 papers shown
Title
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
46
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
48
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
27
0
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
V. Cevher
AAML
98
0
0
17 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
40
0
0
03 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
58
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
50
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
67
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
48
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
BDL
OffRL
79
0
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
56
0
0
18 Mar 2025
Cooperative Bearing-Only Target Pursuit via Multiagent Reinforcement Learning: Design and Experiment
Jianan Li
Zihan Wang
Susheng Ding
Shiliang Guo
Shiyu Zhao
52
0
0
13 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
80
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
57
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
87
1
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
46
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
34
1
0
31 Dec 2024
Learning Set Functions with Implicit Differentiation
Learning Set Functions with Implicit Differentiation
Gözde Özcan
Chengzhi Shi
Stratis Ioannidis
69
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
70
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
69
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
75
5
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
65
0
0
04 Dec 2024
Inference Privacy: Properties and Mechanisms
Inference Privacy: Properties and Mechanisms
Fengwei Tian
Ravi Tandon
78
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
71
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
68
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
36
0
0
03 Nov 2024
CausAdv: A Causal-based Framework for Detecting Adversarial Examples
CausAdv: A Causal-based Framework for Detecting Adversarial Examples
Hichem Debbi
CML
AAML
44
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
35
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
36
0
0
29 Oct 2024
Computable Lipschitz Bounds for Deep Neural Networks
Computable Lipschitz Bounds for Deep Neural Networks
Moreno Pintore
Bruno Després
34
1
0
28 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
35
2
0
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
25
2
0
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
22
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
42
1
0
02 Sep 2024
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
44
0
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
30
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
42
0
0
26 Jun 2024
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
36
0
0
18 Jun 2024
1-Lipschitz Neural Distance Fields
1-Lipschitz Neural Distance Fields
Guillaume Coiffier
Louis Bethune
43
3
0
14 Jun 2024
On the Robustness of Global Feature Effect Explanations
On the Robustness of Global Feature Effect Explanations
Hubert Baniecki
Giuseppe Casalicchio
Bernd Bischl
Przemyslaw Biecek
26
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
25
1
0
12 Jun 2024
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
31
1
0
10 Jun 2024
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
36
2
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
47
3
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
48
2
0
27 May 2024
Consistency of Neural Causal Partial Identification
Consistency of Neural Causal Partial Identification
Jiyuan Tan
Jose Blanchet
Vasilis Syrgkanis
CML
32
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
45
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
41
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
45
1
0
10 May 2024
Random Pareto front surfaces
Random Pareto front surfaces
Ben Tu
N. Kantas
Robert M. Lee
B. Shafei
23
2
0
02 May 2024
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