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Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural
  Networks
v1v2 (latest)

Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks

Neural Information Processing Systems (NeurIPS), 2019
12 June 2019
Mahyar Fazlyab
Avi Schwarzschild
Hamed Hassani
M. Morari
George J. Pappas
ArXiv (abs)PDFHTML

Papers citing "Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks"

50 / 291 papers shown
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
289
2
0
10 Apr 2026
LDLT $\mathcal{L}$-Lipschitz Network: Generalized Deep End-To-End Lipschitz Network Construction
LDLT L\mathcal{L}L-Lipschitz Network: Generalized Deep End-To-End Lipschitz Network Construction
Marius F. R. Juston
Ramavarapu S. Sreenivas
Dustin Nottage
A. Soylemezoglu
60
0
0
05 Dec 2025
Convergence for Discrete Parameter Update Schemes
Convergence for Discrete Parameter Update Schemes
Paul W. Wilson
Fabio Zanasi
George Constantinides
167
0
0
03 Dec 2025
SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning
SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning
T. Huang
Armin Lederer
Dai-Jie Wu
X. Dai
Sihua Zhang
Stefan Sosnowski
Shao-Hua Sun
Sandra Hirche
257
2
0
07 Nov 2025
Improving Unlearning with Model Updates Probably Aligned with Gradients
Improving Unlearning with Model Updates Probably Aligned with Gradients
Virgile Dine
Teddy Furon
Charly Faure
MU
278
0
0
04 Nov 2025
Softmax is $1/2$-Lipschitz: A tight bound across all $\ell_p$ norms
Softmax is 1/21/21/2-Lipschitz: A tight bound across all ℓp\ell_pℓp​ norms
Pravin Nair
358
6
0
27 Oct 2025
A Connection Between Score Matching and Local Intrinsic Dimension
A Connection Between Score Matching and Local Intrinsic Dimension
Eric Yeats
Aaron Jacobson
Darryl Hannan
Yiran Jia
T. Doster
Henry Kvinge
Scott Mahan
DiffM
259
1
0
14 Oct 2025
A geometrical approach to solve the proximity of a point to an axisymmetric quadric in space
A geometrical approach to solve the proximity of a point to an axisymmetric quadric in space
Bibekananda Patra
Aditya Mahesh Kolte
Sandipan Bandyopadhyay
236
12
0
10 Oct 2025
Exact Causal Attention with 10% Fewer Operations
Exact Causal Attention with 10% Fewer Operations
Dmitry Rybin
Yushun Zhang
Ding Tian
Zhihang Lin
Zhi-Quan Luo
CML
313
1
0
05 Oct 2025
Parameterized Hardness of Zonotope Containment and Neural Network Verification
Parameterized Hardness of Zonotope Containment and Neural Network Verification
Vincent Froese
Moritz Grillo
Christoph Hertrich
Moritz Stargalla
181
2
0
26 Sep 2025
Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity
Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity
Ping Chen
Xiang Liu
Zhaoxiang Liu
Zezhou Chen
Xingpeng Zhang
Huan Hu
Zipeng Wang
Kai Wang
Shuming Shi
Shiguo Lian
LRMAI4CE
181
2
0
26 Sep 2025
Bounds of Chain-of-Thought Robustness: Reasoning Steps, Embed Norms, and Beyond
Bounds of Chain-of-Thought Robustness: Reasoning Steps, Embed Norms, and Beyond
Dingzirui Wang
Xuanliang Zhang
Keyan Xu
Qingfu Zhu
Wanxiang Che
Yang Deng
LRM
220
1
0
25 Sep 2025
Lipschitz-Based Robustness Certification for Recurrent Neural Networks via Convex Relaxation
Lipschitz-Based Robustness Certification for Recurrent Neural Networks via Convex Relaxation
Paul Hamelbeck
Johannes Schiffer
AAML
144
0
0
22 Sep 2025
Sample Efficient Certification of Discrete-Time Control Barrier Functions
Sample Efficient Certification of Discrete-Time Control Barrier Functions
Sampath Kumar Mulagaleti
Andrea Del Prete
106
0
0
04 Sep 2025
Noise-adapted Neural Operator for Robust Non-Line-of-Sight Imaging
Noise-adapted Neural Operator for Robust Non-Line-of-Sight Imaging
Lianfang Wang
Kuilin Qin
Xueying Liu
Huibin Chang
Yong Wang
Yuping Duan
182
0
0
13 Aug 2025
The Serial Scaling Hypothesis
The Serial Scaling Hypothesis
Yuxi Liu
Konpat Preechakul
Kananart Kuwaranancharoen
Yutong Bai
LRM
268
6
0
16 Jul 2025
Optimization-Induced Dynamics of Lipschitz Continuity in Neural Networks
Optimization-Induced Dynamics of Lipschitz Continuity in Neural Networks
Róisín Luo
James McDermott
Christian Gagné
Qiang Sun
C. O'Riordan
205
0
0
23 Jun 2025
General and Estimable Learning Bound Unifying Covariate and Concept Shifts
General and Estimable Learning Bound Unifying Covariate and Concept Shifts
Hongbo Chen
Li Charlie Xia
OOD
218
0
0
15 Jun 2025
Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness
Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness
Jinkwan Jang
Hyungjin Park
Jinmyeong Choi
Taesup Kim
AI4TS
308
0
0
10 Jun 2025
Systematic and Efficient Construction of Quadratic Unconstrained Binary Optimization Forms for High-order and Dense InteractionsJournal of the Physical Society of Japan (JPSJ), 2025
Hyakka Nakada
Shu Tanaka
293
0
0
10 Jun 2025
Average Calibration Losses for Reliable Uncertainty in Medical Image Segmentation
Average Calibration Losses for Reliable Uncertainty in Medical Image Segmentation
Theodore Barfoot
Luis C. Garcia-Peraza-Herrera
Samet Akcay
Ben Glocker
Tom Vercauteren
UQCV
545
1
0
04 Jun 2025
Learning Smooth State-Dependent Traversability from Dense Point Clouds
Learning Smooth State-Dependent Traversability from Dense Point Clouds
Zihao Dong
Alan Papalia
Leonard Jung
Alenna Spiro
Philip R. Osteen
Christa S. Robison
Michael Everett
225
1
0
04 Jun 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
359
4
0
21 May 2025
Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems
Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical SystemsConference on Learning for Dynamics & Control (L4DC), 2025
Xue Yang
Xiangru Zhong
Bin Hu
Huan Zhang
278
6
0
23 Apr 2025
Probabilistic Stability Guarantees for Feature Attributions
Probabilistic Stability Guarantees for Feature Attributions
Helen Jin
Anton Xue
Weiqiu You
Surbhi Goel
Eric Wong
628
11
0
18 Apr 2025
Adversarial Examples in Environment Perception for Automated Driving (Review)
Adversarial Examples in Environment Perception for Automated Driving (Review)
Jun Yan
Huilin Yin
AAML
372
1
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11 Apr 2025
Towards Understanding the Optimization Mechanisms in Deep Learning
Towards Understanding the Optimization Mechanisms in Deep Learning
Binchuan Qi
Wei Gong
Li Li
432
1
0
29 Mar 2025
Bitstream Collisions in Neural Image Compression via Adversarial Perturbations
Bitstream Collisions in Neural Image Compression via Adversarial Perturbations
Jordan Madden
Lhamo Dorje
Xiaohua Li
AAML
268
2
0
25 Mar 2025
Physics-Informed Deep B-Spline Networks
Physics-Informed Deep B-Spline Networks
Zhuoyuan Wang
Raffaele Romagnoli
Jasmine Ratchford
Yorie Nakahira
PINNAI4CE
299
1
0
21 Mar 2025
Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors
Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors
Runxi Cheng
Feng Xiong
Yongxian Wei
Wanyun Zhu
Chun Yuan
MoMe
525
30
0
11 Mar 2025
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models
Sajjad Hashemian
Mohammad Saeed Arvenaghi
240
0
0
11 Mar 2025
APECS: Adaptive Personalized Control System Architecture
APECS: Adaptive Personalized Control System Architecture
Marius F. R. Juston
Alex Gisi
William R. Norris
William R. Norris
A. Soylemezoglu
353
0
0
10 Mar 2025
L-Lipschitz Gershgorin ResNet Network
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Marius F. R. Juston
William R. Norris
William R. Norris
A. Soylemezoglu
332
0
0
28 Feb 2025
Stability and Generalization in Free Adversarial Training
Stability and Generalization in Free Adversarial Training
Xiwei Cheng
Kexin Fu
Farzan Farnia
AAML
296
8
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08 Jan 2025
Set-Valued Sensitivity Analysis of Deep Neural Networks
Set-Valued Sensitivity Analysis of Deep Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2024
Xin Wang
Feiling wang
X. Ban
265
1
0
15 Dec 2024
Inference Privacy: Properties and Mechanisms
Inference Privacy: Properties and MechanismsAsilomar Conference on Signals, Systems and Computers (ACSSC), 2024
Fengwei Tian
Ravi Tandon
441
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27 Nov 2024
Achieving Domain-Independent Certified Robustness via Knowledge
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Achieving Domain-Independent Certified Robustness via Knowledge ContinuityNeural Information Processing Systems (NeurIPS), 2024
Alan Sun
Chiyu Ma
Kenneth Ge
Soroush Vosoughi
324
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03 Nov 2024
Estimating Neural Network Robustness via Lipschitz Constant and
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Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity
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Computable Lipschitz Bounds for Deep Neural Networks
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Complexity Matters: Effective Dimensionality as a Measure for
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Benchmarking Smoothness and Reducing High-Frequency Oscillations in
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Benchmarking Smoothness and Reducing High-Frequency Oscillations in Continuous Control PoliciesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Guilherme Christmann
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Hanjaya Mandala
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Learning to Optimize for Mixed-Integer Non-linear Programming
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Elias Boutros Khalil
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636
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Robustness Reprogramming for Representation Learning
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Thinner Latent Spaces: Detecting Dimension and Imposing Invariance with Conformal Autoencoders
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Mauro Maggioni
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Certified Robust Invariant Polytope Training in Neural Controlled ODEs
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Hidden State Differential Private Mini-Batch Block Coordinate Descent for Multi-convexity Optimization
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