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Minimizing Worst-Case Violations of Neural Networks

Minimizing Worst-Case Violations of Neural Networks

21 December 2022
Rahul Nellikkath
Spyros Chatzivasileiadis
ArXivPDFHTML

Papers citing "Minimizing Worst-Case Violations of Neural Networks"

5 / 5 papers shown
Title
Scalable Exact Verification of Optimization Proxies for Large-Scale
  Optimal Power Flow
Scalable Exact Verification of Optimization Proxies for Large-Scale Optimal Power Flow
Rahul Nellikkath
Mathieu Tanneau
Pascal Van Hentenryck
Spyros Chatzivasileiadis
27
0
0
09 May 2024
Correctness Verification of Neural Networks Approximating Differential
  Equations
Correctness Verification of Neural Networks Approximating Differential Equations
Petros Ellinas
Rahul Nellikkath
Ignasi Ventura
Jochen Stiasny
Spyros Chatzivasileiadis
10
1
0
12 Feb 2024
Enriching Neural Network Training Dataset to Improve Worst-Case
  Performance Guarantees
Enriching Neural Network Training Dataset to Improve Worst-Case Performance Guarantees
Rahul Nellikkath
Spyros Chatzivasileiadis
11
3
0
23 Mar 2023
Physics-Informed Graphical Neural Network for Parameter & State
  Estimations in Power Systems
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems
Laurent Pagnier
Michael Chertkov
29
48
0
12 Feb 2021
Predicting AC Optimal Power Flows: Combining Deep Learning and
  Lagrangian Dual Methods
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
Ferdinando Fioretto
Terrence W.K. Mak
Pascal Van Hentenryck
AI4CE
76
198
0
19 Sep 2019
1