Temporal Logics for Hyperproperties MR Clarkson, B Finkbeiner, M Koleini, KK Micinski, MN Rabe, C Sánchez International Conference on Principles of Security and Trust (POST), 265-284, 2014 | 325 | 2014 |
Memorizing transformers Y Wu, MN Rabe, DL Hutchins, C Szegedy International Conference on Learning Representations, 2021 | 190 | 2021 |
HOList: An Environment for Machine Learning of Higher Order Logic Theorem Proving K Bansal, S Loos, M Rabe, C Szegedy, S Wilcox International Conference on Machine Learning, 454-463, 2019 | 185* | 2019 |
Algorithms for Model Checking HyperLTL and HyperCTL* B Finkbeiner, MN Rabe, C Sánchez Computer Aided Verification (CAV), 30-48, 2015 | 185 | 2015 |
CAQE: A Certifying QBF Solver MN Rabe, L Tentrup Formal Methods in Computer-Aided Design (FMCAD), 136-143, 2015 | 143 | 2015 |
Graph representations for higher-order logic and theorem proving A Paliwal, S Loos, M Rabe, K Bansal, C Szegedy Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2967-2974, 2020 | 120 | 2020 |
Autoformalization with large language models Y Wu, AQ Jiang, W Li, M Rabe, C Staats, M Jamnik, C Szegedy Advances in Neural Information Processing Systems 35, 32353-32368, 2022 | 110 | 2022 |
Model Checking Information Flow in Reactive Systems R Dimitrova, B Finkbeiner, M Kovács, M Rabe, H Seidl Verification, Model Checking, and Abstract Interpretation (VMCAI), 169-185, 2012 | 89 | 2012 |
Encodings of Bounded Synthesis P Faymonville, B Finkbeiner, MN Rabe, L Tentrup Tools and Algorithms for the Construction and Analysis of Systems (TACAS …, 2017 | 82 | 2017 |
Learning Heuristics for Quantified Boolean Formulas through Deep Reinforcement Learning G Lederman, M Rabe, EA Lee, SA Seshia ICLR, 2020 | 77* | 2020 |
Self-attention Does Not Need Memory MN Rabe, C Staats arXiv preprint arXiv:2112.05682, 2021 | 73 | 2021 |
Incremental Determinization MN Rabe, SA Seshia Theory and Applications of Satisfiability Testing (SAT), 375-392, 2016 | 67 | 2016 |
Teaching temporal logics to neural networks C Hahn, F Schmitt, JU Kreber, MN Rabe, B Finkbeiner arXiv preprint arXiv:2003.04218, 2020 | 62 | 2020 |
A Temporal Logic Approach to Information-flow Control MN Rabe Saarland University, 2016 | 58 | 2016 |
Lime: Learning inductive bias for primitives of mathematical reasoning Y Wu, MN Rabe, W Li, J Ba, RB Grosse, C Szegedy International Conference on Machine Learning, 11251-11262, 2021 | 53 | 2021 |
Maximum Model Counting DJ Fremont, MN Rabe, SA Seshia AAAI, 3885-3892, 2017 | 52 | 2017 |
Mathematical Reasoning via Self-supervised Skip-tree Training MN Rabe, D Lee, K Bansal, C Szegedy arXiv preprint arXiv:2006.04757, 2020 | 51 | 2020 |
Baldur: Whole-proof generation and repair with large language models E First, M Rabe, T Ringer, Y Brun Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 50 | 2023 |
Finite optimal control for time-bounded reachability in CTMDPs and continuous-time Markov games MN Rabe, S Schewe Acta Informatica 48, 291-315, 2011 | 42 | 2011 |
Learning to reason in large theories without imitation K Bansal, C Szegedy, MN Rabe, SM Loos, V Toman arXiv preprint arXiv:1905.10501, 2019 | 39 | 2019 |