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Neural Network Verification in Control

Neural Network Verification in Control

30 September 2021
M. Everett
    AAML
ArXivPDFHTML

Papers citing "Neural Network Verification in Control"

18 / 18 papers shown
Title
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification
Rudolf Reiter
Jasper Hoffmann
D. Reinhardt
Florian Messerer
Katrin Baumgärtner
Shamburaj Sawant
Joschka Boedecker
Moritz Diehl
S. Gros
77
5
0
04 Feb 2025
Achieving the Tightest Relaxation of Sigmoids for Formal Verification
Achieving the Tightest Relaxation of Sigmoids for Formal Verification
Samuel Chevalier
Duncan Starkenburg
Krishnamurthy Dvijotham
18
0
0
20 Aug 2024
Certifying Robustness of Learning-Based Keypoint Detection and Pose
  Estimation Methods
Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods
Zheqi Lv
Shaoxuan He
Simin Liu
Wenqiao Zhang
Luis Mattei-Mendez
Taylor Loper
Jingyuan Chen
Zhou Zhao
Changliu Liu
3DPC
16
0
0
31 Jul 2024
Learning a Stable, Safe, Distributed Feedback Controller for a
  Heterogeneous Platoon of Vehicles
Learning a Stable, Safe, Distributed Feedback Controller for a Heterogeneous Platoon of Vehicles
Michael Shaham
T. Padır
19
0
0
18 Apr 2024
Rational Neural Network Controllers
Rational Neural Network Controllers
M. Newton
A. Papachristodoulou
OOD
AAML
19
1
0
12 Jul 2023
Toward Evaluating Robustness of Reinforcement Learning with Adversarial
  Policy
Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy
Jiawei Zhao
Xingjun Ma
Florian Schäfer
Xinyu Wang
Anima Anandkumar
Cong Wang
AAML
19
1
0
04 May 2023
Learning Minimally-Violating Continuous Control for Infeasible Linear
  Temporal Logic Specifications
Learning Minimally-Violating Continuous Control for Infeasible Linear Temporal Logic Specifications
Mingyu Cai
Makai Mann
Zachary Serlin
Kevin J. Leahy
C. Vasile
27
13
0
03 Oct 2022
Chordal Sparsity for SDP-based Neural Network Verification
Chordal Sparsity for SDP-based Neural Network Verification
Anton Xue
Lars Lindemann
Rajeev Alur
8
1
0
07 Jun 2022
Certifiable Artificial Intelligence Through Data Fusion
Certifiable Artificial Intelligence Through Data Fusion
Erik P. Blasch
Junchi Bin
Zheng Liu
9
6
0
03 Nov 2021
Training a Resilient Q-Network against Observational Interference
Training a Resilient Q-Network against Observational Interference
Chao-Han Huck Yang
I-Te Danny Hung
Ouyang Yi
Pin-Yu Chen
OOD
11
14
0
18 Feb 2021
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
121
419
0
10 Mar 2020
Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a
  Multirotor
Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor
Andrea Tagliabue
Aleix Paris
Suhan Kim
Regan Kubicek
Sarah Bergbreiter
Jonathan P. How
16
31
0
04 Mar 2020
Challenges and Countermeasures for Adversarial Attacks on Deep
  Reinforcement Learning
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Inaam Ilahi
Muhammad Usama
Junaid Qadir
M. Janjua
Ala I. Al-Fuqaha
D. Hoang
Dusit Niyato
AAML
55
129
0
27 Jan 2020
Soft Actor-Critic for Discrete Action Settings
Soft Actor-Critic for Discrete Action Settings
Petros Christodoulou
OffRL
104
292
0
16 Oct 2019
Output Reachable Set Estimation and Verification for Multi-Layer Neural
  Networks
Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks
Weiming Xiang
Hoang-Dung Tran
Taylor T. Johnson
72
290
0
09 Aug 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,471
0
17 Apr 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
222
1,832
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
M. Kwiatkowska
Sen Wang
Min Wu
AAML
178
929
0
21 Oct 2016
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