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2501.15767
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Formal Verification of Markov Processes with Learned Parameters
27 January 2025
Muhammad Maaz
Timothy C. Y. Chan
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Papers citing
"Formal Verification of Markov Processes with Learned Parameters"
13 / 13 papers shown
Title
Efficient Sensitivity Analysis for Parametric Robust Markov Chains
International Conference on Computer Aided Verification (CAV), 2023
Thom S. Badings
Sebastian Junges
Ahmadreza Marandi
Ufuk Topcu
N. Jansen
108
2
0
01 May 2023
Provably Bounding Neural Network Preimages
Neural Information Processing Systems (NeurIPS), 2023
Suhas Kotha
Christopher Brix
Zico Kolter
Krishnamurthy Dvijotham
Huan Zhang
AAML
368
21
0
02 Feb 2023
Neural Network Verification as Piecewise Linear Optimization: Formulations for the Composition of Staircase Functions
Tu Anh-Nguyen
Joey Huchette
134
2
0
27 Nov 2022
On the convex formulations of robust Markov decision processes
Mathematics of Operations Research (MOR), 2022
Julien Grand-Clément
Marek Petrik
189
11
0
21 Sep 2022
General Cutting Planes for Bound-Propagation-Based Neural Network Verification
Neural Information Processing Systems (NeurIPS), 2022
Huan Zhang
Shiqi Wang
Kaidi Xu
Linyi Li
Yue Liu
Suman Jana
Cho-Jui Hsieh
J. Zico Kolter
174
119
0
11 Aug 2022
Between steps: Intermediate relaxations between big-M and convex hull formulations
Integration of AI and OR Techniques in Constraint Programming (CPAIOR), 2021
Jan Kronqvist
Ruth Misener
Calvin Tsay
126
17
0
29 Jan 2021
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification
Neural Information Processing Systems (NeurIPS), 2020
Christian Tjandraatmadja
Ross Anderson
Joey Huchette
Will Ma
Krunal Patel
J. Vielma
AAML
181
95
0
24 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Neural Information Processing Systems (NeurIPS), 2019
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
924
47,917
0
03 Dec 2019
Strong mixed-integer programming formulations for trained neural networks
Mathematical programming (Math. Program.), 2018
Ross Anderson
Joey Huchette
Christian Tjandraatmadja
J. Vielma
354
281
0
20 Nov 2018
Maximum Resilience of Artificial Neural Networks
Chih-Hong Cheng
Georg Nührenberg
Harald Ruess
AAML
357
295
0
28 Apr 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
International Conference on Computer Aided Verification (CAV), 2017
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
727
1,982
0
03 Feb 2017
Sensitivity analysis for finite Markov chains in discrete time
Conference on Uncertainty in Artificial Intelligence (UAI), 2008
G. Cooman
Filip Hermans
Erik Quaeghebeur
113
10
0
09 Aug 2014
Intriguing properties of neural networks
International Conference on Learning Representations (ICLR), 2013
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
591
15,874
1
21 Dec 2013
1