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Guy Amir
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2020 – today
- 2024
- [j3]Davide Corsi, Guy Amir, Andoni Rodríguez, Guy Katz, César Sánchez, Roy Fox:
Verification-Guided Shielding for Deep Reinforcement Learning. RLJ 4: 1759-1780 (2024) - [j2]Guy Amir, Osher Maayan, Tom Zelazny, Guy Katz, Michael Schapira:
Verifying the Generalization of Deep Learning to Out-of-Distribution Domains. J. Autom. Reason. 68(3): 17 (2024) - [c13]Haoze Wu, Omri Isac, Aleksandar Zeljic, Teruhiro Tagomori, Matthew L. Daggitt
, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, Clark W. Barrett:
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks. CAV (2) 2024: 249-264 - [c12]Guy Amir, Shahaf Bassan, Guy Katz:
Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation. ECAI 2024: 818-825 - [c11]Shahaf Bassan, Guy Amir, Guy Katz:
Local vs. Global Interpretability: A Computational Complexity Perspective. ICML 2024 - [i19]Haoze Wu, Omri Isac, Aleksandar Zeljic, Teruhiro Tagomori, Matthew L. Daggitt, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, Clark W. Barrett:
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks. CoRR abs/2401.14461 (2024) - [i18]Davide Corsi, Guy Amir, Guy Katz, Alessandro Farinelli:
Analyzing Adversarial Inputs in Deep Reinforcement Learning. CoRR abs/2402.05284 (2024) - [i17]Udayan Mandal, Guy Amir, Haoze Wu, Ieva Daukantas, Fletcher Lee Newell, Umberto J. Ravaioli, Baoluo Meng, Michael Durling, Milan Ganai, Tobey Shim, Guy Katz, Clark W. Barrett:
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates. CoRR abs/2405.14058 (2024) - [i16]Guy Amir, Osher Maayan, Tom Zelazny, Guy Katz, Michael Schapira:
Verifying the Generalization of Deep Learning to Out-of-Distribution Domains. CoRR abs/2406.02024 (2024) - [i15]Shahaf Bassan, Guy Amir, Guy Katz:
Local vs. Global Interpretability: A Computational Complexity Perspective. CoRR abs/2406.02981 (2024) - [i14]Andoni Rodríguez, Guy Amir, Davide Corsi, César Sánchez, Guy Katz:
Shield Synthesis for LTL Modulo Theories. CoRR abs/2406.04184 (2024) - [i13]Davide Corsi, Guy Amir, Andoni Rodríguez, César Sánchez, Guy Katz, Roy Fox:
Verification-Guided Shielding for Deep Reinforcement Learning. CoRR abs/2406.06507 (2024) - [i12]Udayan Mandal, Guy Amir, Haoze Wu, Ieva Daukantas, Fletcher Lee Newell, Umberto J. Ravaioli, Baoluo Meng, Michael Durling, Kerianne Hobbs, Milan Ganai, Tobey Shim, Guy Katz, Clark W. Barrett:
Safe and Reliable Training of Learning-Based Aerospace Controllers. CoRR abs/2407.07088 (2024) - [i11]Guy Amir, Shahaf Bassan, Guy Katz:
Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation. CoRR abs/2408.03915 (2024) - 2023
- [j1]Raz Yerushalmi
Enhancing Deep Reinforcement Learning with Scenario-Based Modeling. SN Comput. Sci. 4(2): 156 (2023) - [c10]Guy Amir, Osher Maayan, Tom Zelazny, Guy Katz, Michael Schapira:
Verifying Generalization in Deep Learning. CAV (2) 2023: 438-455 - [c9]Guy Amir, Ziv Freund, Guy Katz, Elad Mandelbaum, Idan Refaeli:
veriFIRE: Verifying an Industrial, Learning-Based Wildfire Detection System. FM 2023: 648-656 - [c8]Shahaf Bassan, Guy Amir, Davide Corsi, Idan Refaeli, Guy Katz:
Formally Explaining Neural Networks within Reactive Systems. FMCAD 2023: 1-13 - [c7]Guy Amir, Davide Corsi, Raz Yerushalmi, Luca Marzari, David Harel, Alessandro Farinelli, Guy Katz:
Verifying Learning-Based Robotic Navigation Systems. TACAS (1) 2023: 607-627 - [e1]Nina Narodytska, Guy Amir, Guy Katz, Omri Isac:
Proceedings of the 6th Workshop on Formal Methods for ML-Enabled Autonomous Systems, FoMLAS@CAV 2023, Paris, France, July 17-18, 2023. Kalpa Publications in Computing 16, EasyChair 2023 [contents] - [i10]Guy Amir, Osher Maayan, Tom Zelazny, Guy Katz, Michael Schapira:
Verifying Generalization in Deep Learning. CoRR abs/2302.05745 (2023) - [i9]Shahaf Bassan, Guy Amir, Davide Corsi, Idan Refaeli, Guy Katz:
Formally Explaining Neural Networks within Reactive Systems. CoRR abs/2308.00143 (2023) - 2022
- [c6]Marco Casadio
Neural Network Robustness as a Verification Property: A Principled Case Study. CAV (1) 2022: 219-231 - [c5]Guy Amir, Tom Zelazny, Guy Katz, Michael Schapira:
Verification-Aided Deep Ensemble Selection. FMCAD 2022: 27-37 - [c4]Raz Yerushalmi, Guy Amir, Achiya Elyasaf, David Harel, Guy Katz, Assaf Marron:
Scenario-assisted Deep Reinforcement Learning. MODELSWARD 2022: 310-319 - [i8]Guy Amir, Guy Katz, Michael Schapira:
Verification-Aided Deep Ensemble Selection. CoRR abs/2202.03898 (2022) - [i7]Raz Yerushalmi, Guy Amir, Achiya Elyasaf, David Harel, Guy Katz, Assaf Marron:
Scenario-Assisted Deep Reinforcement Learning. CoRR abs/2202.04337 (2022) - [i6]Guy Amir, Davide Corsi, Raz Yerushalmi, Luca Marzari, David Harel, Alessandro Farinelli
Verifying Learning-Based Robotic Navigation Systems. CoRR abs/2205.13536 (2022) - [i5]Davide Corsi, Raz Yerushalmi, Guy Amir, Alessandro Farinelli
Constrained Reinforcement Learning for Robotics via Scenario-Based Programming. CoRR abs/2206.09603 (2022) - [i4]Guy Amir, Ziv Freund, Guy Katz, Elad Mandelbaum, Idan Refaeli:
veriFIRE: Verifying an Industrial, Learning-Based Wildfire Detection System. CoRR abs/2212.03287 (2022) - 2021
- [c3]Guy Amir, Michael Schapira, Guy Katz:
Towards Scalable Verification of Deep Reinforcement Learning. FMCAD 2021: 193-203 - [c2]Guy Amir, Ayala Prusak, Tal Reiss, Nir Zabari, Dror G. Feitelson:
Use and Perceptions of Multi-Monitor Workstations: A Natural Experiment. SER&IP@ICSE 2021: 29-36 - [c1]Guy Amir, Haoze Wu, Clark W. Barrett, Guy Katz:
An SMT-Based Approach for Verifying Binarized Neural Networks. TACAS (2) 2021: 203-222 - [i3]Guy Amir, Ayala Prusak, Tal Reiss, Nir Zabari, Dror G. Feitelson:
Use and Perceptions of Multi-Monitor Workstations: A Natural Experiment. CoRR abs/2103.13198 (2021) - [i2]Guy Amir, Michael Schapira, Guy Katz:
Towards Scalable Verification of RL-Driven Systems. CoRR abs/2105.11931 (2021) - 2020
- [i1]Guy Amir, Haoze Wu, Clark W. Barrett, Guy Katz:
An SMT-Based Approach for Verifying Binarized Neural Networks. CoRR abs/2011.02948 (2020)
Coauthor Index
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last updated on 2024-12-10 20:43 CET by the dblp team
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