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2020 – today
- 2024
[c4]Juan Manuel Rodriguez
, Nima Tavassoli, Eliezer Levy, Gil Lederman, Dima Sivov, Matteo Lissandrini, Davide Mottin:
Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query? ECIR (4) 2024: 161-176- 2023
- [i4]Joseph Kampeas, Yury Nahshan, Hanoch Kremer, Gil Lederman, Shira Zaloshinski, Zheng Li, Emir Haleva:
Rotation Invariant Quantization for Model Compression. CoRR abs/2303.03106 (2023) - 2021
- [b1]Gil Lederman:
Neural Guidance in Constraint Solvers. University of California, Berkeley, USA, 2021 - [c3]Pashootan Vaezipoor, Gil Lederman, Yuhuai Wu, Chris J. Maddison, Roger B. Grosse, Sanjit A. Seshia, Fahiem Bacchus:
Learning Branching Heuristics for Propositional Model Counting. AAAI 2021: 12427-12435 - [i3]Marcell Vazquez-Chanlatte, Ameesh Shah, Gil Lederman, Sanjit A. Seshia:
Demonstration Informed Specification Search. CoRR abs/2112.10807 (2021) - 2020
- [j1]Matthew Weber, Baihong Jin, Gil Lederman, Yasser Shoukry, Edward A. Lee, Sanjit Seshia, Alberto L. Sangiovanni-Vincentelli:
Gordian: Formal Reasoning-based Outlier Detection for Secure Localization. ACM Trans. Cyber Phys. Syst. 4(4): 43:1-43:27 (2020) - [c2]Gil Lederman, Markus N. Rabe, Sanjit Seshia, Edward A. Lee:
Learning Heuristics for Quantified Boolean Formulas through Reinforcement Learning. ICLR 2020 - [i2]Pashootan Vaezipoor, Gil Lederman, Yuhuai Wu, Chris J. Maddison, Roger B. Grosse, Edward A. Lee, Sanjit A. Seshia, Fahiem Bacchus:
Learning Branching Heuristics for Propositional Model Counting. CoRR abs/2007.03204 (2020)
2010 – 2019
- 2018
- [i1]Gil Lederman, Markus N. Rabe, Sanjit A. Seshia:
Learning Heuristics for Automated Reasoning through Deep Reinforcement Learning. CoRR abs/1807.08058 (2018) - 2016
- [c1]Yi-Chin Wu, Gil Lederman, Stéphane Lafortune:
Enhancing opacity of stochastic discrete event systems using insertion functions. ACC 2016: 2053-2060
Coauthor Index
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