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Certifying Incremental Quadratic Constraints for Neural Networks via
  Convex Optimization
v1v2v3 (latest)

Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization

10 December 2020
Navid Hashemi
Justin Ruths
Mahyar Fazlyab
ArXiv (abs)PDFHTML

Papers citing "Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization"

16 / 16 papers shown
Title
Identification For Control Based on Neural Networks: Approximately
  Linearizable Models
Identification For Control Based on Neural Networks: Approximately Linearizable Models
Maxime Thieffry
Alexandre Hache
Mohamed Yagoubi
Philippe Chevrel
36
0
0
24 Sep 2024
Ensuring Both Positivity and Stability Using Sector-Bounded Nonlinearity
  for Systems with Neural Network Controllers
Ensuring Both Positivity and Stability Using Sector-Bounded Nonlinearity for Systems with Neural Network Controllers
Hamidreza Montazeri Hedesh
Milad Siami
55
2
0
18 Jun 2024
Compositional Curvature Bounds for Deep Neural Networks
Compositional Curvature Bounds for Deep Neural Networks
Taha Entesari
Sina Sharifi
Mahyar Fazlyab
AAML
64
1
0
07 Jun 2024
Provable Bounds on the Hessian of Neural Networks: Derivative-Preserving
  Reachability Analysis
Provable Bounds on the Hessian of Neural Networks: Derivative-Preserving Reachability Analysis
Sina Sharifi
Mahyar Fazlyab
94
0
0
06 Jun 2024
Synthesizing Neural Network Controllers with Closed-Loop Dissipativity
  Guarantees
Synthesizing Neural Network Controllers with Closed-Loop Dissipativity Guarantees
Neelay Junnarkar
Murat Arcak
Peter M. Seiler
60
4
0
10 Apr 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
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
Mahyar Fazlyab
Taha Entesari
Aniket Roy
Ramalingam Chellappa
AAML
113
11
0
29 Sep 2023
Hybrid Zonotopes Exactly Represent ReLU Neural Networks
Hybrid Zonotopes Exactly Represent ReLU Neural Networks
Joshua Ortiz
Alyssa Vellucci
Justin P. Koeln
Justin Ruths
62
11
0
05 Apr 2023
A Neurosymbolic Approach to the Verification of Temporal Logic
  Properties of Learning enabled Control Systems
A Neurosymbolic Approach to the Verification of Temporal Logic Properties of Learning enabled Control Systems
Navid Hashemi
Bardh Hoxha
Tomoya Yamaguchi
Danil Prokhorov
Geogios Fainekos
Jyotirmoy Deshmukh
55
8
0
07 Mar 2023
Convolutional Neural Networks as 2-D systems
Convolutional Neural Networks as 2-D systems
Dennis Gramlich
Patricia Pauli
C. Scherer
Frank Allgöwer
C. Ebenbauer
3DV
54
8
0
06 Mar 2023
ReachLipBnB: A branch-and-bound method for reachability analysis of
  neural autonomous systems using Lipschitz bounds
ReachLipBnB: A branch-and-bound method for reachability analysis of neural autonomous systems using Lipschitz bounds
Taha Entesari
Sina Sharifi
Mahyar Fazlyab
104
6
0
01 Nov 2022
Zonotope Domains for Lagrangian Neural Network Verification
Zonotope Domains for Lagrangian Neural Network Verification
Matt Jordan
J. Hayase
A. Dimakis
Sewoong Oh
83
3
0
14 Oct 2022
A Domain-Theoretic Framework for Robustness Analysis of Neural Networks
A Domain-Theoretic Framework for Robustness Analysis of Neural Networks
Can Zhou
R. A. Shaikh
Yiran Li
Amin Farjudian
OOD
78
4
0
01 Mar 2022
Neural network training under semidefinite constraints
Neural network training under semidefinite constraints
Patricia Pauli
Niklas Funcke
Dennis Gramlich
Mohamed Amine Msalmi
Frank Allgöwer
GAN
59
14
0
03 Jan 2022
Linear systems with neural network nonlinearities: Improved stability
  analysis via acausal Zames-Falb multipliers
Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers
Patricia Pauli
Dennis Gramlich
J. Berberich
Frank Allgöwer
43
27
0
31 Mar 2021
Performance Bounds for Neural Network Estimators: Applications in Fault
  Detection
Performance Bounds for Neural Network Estimators: Applications in Fault Detection
Navid Hashemi
Mahyar Fazlyab
Justin Ruths
AAML
36
2
0
22 Mar 2021
1