ICE: A robust framework for learning invariants P Garg, C Löding, P Madhusudan, D Neider Computer Aided Verification: 26th International Conference, CAV 2014, Held …, 2014 | 250 | 2014 |
Learning invariants using decision trees and implication counterexamples P Garg, D Neider, P Madhusudan, D Roth ACM Sigplan Notices 51 (1), 499-512, 2016 | 226 | 2016 |
Learning linear temporal properties D Neider, I Gavran 2018 Formal Methods in Computer Aided Design (FMCAD), 1-10, 2018 | 123 | 2018 |
libalf: The automata learning framework B Bollig, JP Katoen, C Kern, M Leucker, D Neider, DR Piegdon Computer Aided Verification: 22nd International Conference, CAV 2010 …, 2010 | 122 | 2010 |
Joint inference of reward machines and policies for reinforcement learning Z Xu, I Gavran, Y Ahmad, R Majumdar, D Neider, U Topcu, B Wu Proceedings of the International Conference on Automated Planning and …, 2020 | 92 | 2020 |
Horn-ICE learning for synthesizing invariants and contracts P Ezudheen, D Neider, D D'Souza, P Garg, P Madhusudan Proceedings of the ACM on Programming Languages 2 (OOPSLA), 1-25, 2018 | 69 | 2018 |
Robust linear temporal logic P Tabuada, D Neider arXiv preprint arXiv:1510.08970, 2015 | 60 | 2015 |
Learning universally quantified invariants of linear data structures P Garg, C Löding, P Madhusudan, D Neider Computer Aided Verification: 25th International Conference, CAV 2013, Saint …, 2013 | 49 | 2013 |
Benchmarks for automata learning and conformance testing D Neider, R Smetsers, F Vaandrager, H Kuppens Models, Mindsets, Meta: The What, the How, and the Why Not? Essays Dedicated …, 2019 | 46 | 2019 |
Learning to break deep perceptual hashing: The use case neuralhash L Struppek, D Hintersdorf, D Neider, K Kersting Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 39 | 2022 |
An automaton learning approach to solving safety games over infinite graphs D Neider, U Topcu Tools and Algorithms for the Construction and Analysis of Systems: 22nd …, 2016 | 38 | 2016 |
Abstract learning frameworks for synthesis C Löding, P Madhusudan, D Neider Tools and Algorithms for the Construction and Analysis of Systems: 22nd …, 2016 | 35 | 2016 |
Advice-guided reinforcement learning in a non-Markovian environment D Neider, JR Gaglione, I Gavran, U Topcu, B Wu, Z Xu Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9073-9080, 2021 | 34 | 2021 |
Regular model checking using solver technologies and automata learning D Neider, N Jansen NASA Formal Methods Symposium, 16-31, 2013 | 34 | 2013 |
Active finite reward automaton inference and reinforcement learning using queries and counterexamples Z Xu, B Wu, A Ojha, D Neider, U Topcu Machine Learning and Knowledge Extraction: 5th IFIP TC 5, TC 12, WG 8.4, WG …, 2021 | 28 | 2021 |
Synthesis of safety controllers robust to unmodeled intermittent disturbances E Dallal, D Neider, P Tabuada 2016 IEEE 55th Conference on Decision and Control (CDC), 7425-7430, 2016 | 28 | 2016 |
Learning linear temporal properties from noisy data: A maxsat-based approach JR Gaglione, D Neider, R Roy, U Topcu, Z Xu Automated Technology for Verification and Analysis: 19th International …, 2021 | 26 | 2021 |
Learning interpretable models in the property specification language R Roy, D Fisman, D Neider arXiv preprint arXiv:2002.03668, 2020 | 26 | 2020 |
Computing minimal separating DFAs and regular invariants using SAT and SMT solvers D Neider International Symposium on Automated Technology for Verification and …, 2012 | 26 | 2012 |
Scalable anytime algorithms for learning fragments of linear temporal logic R Raha, R Roy, N Fijalkow, D Neider International Conference on Tools and Algorithms for the Construction and …, 2022 | 24 | 2022 |