Guy Amir

According to our database1, Guy Amir authored at least 16 papers between 2021 and 2024.

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Bibliography

2024
Analyzing Adversarial Inputs in Deep Reinforcement Learning.
CoRR, 2024

Marabou 2.0: A Versatile Formal Analyzer of Neural Networks.
CoRR, 2024

2023
Enhancing Deep Reinforcement Learning with Scenario-Based Modeling.
SN Comput. Sci., March, 2023

Verifying Learning-Based Robotic Navigation Systems.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2023

Formally Explaining Neural Networks within Reactive Systems.
Proceedings of the Formal Methods in Computer-Aided Design, 2023

veriFIRE: Verifying an Industrial, Learning-Based Wildfire Detection System.
Proceedings of the Formal Methods - 25th International Symposium, 2023

Verifying Generalization in Deep Learning.
Proceedings of the Computer Aided Verification - 35th International Conference, 2023

2022
Constrained Reinforcement Learning for Robotics via Scenario-Based Programming.
CoRR, 2022

Verification-Aided Deep Ensemble Selection.
CoRR, 2022

Scenario-assisted Deep Reinforcement Learning.
Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development, 2022

Verification-Aided Deep Ensemble Selection.
Proceedings of the 22nd Formal Methods in Computer-Aided Design, 2022

Neural Network Robustness as a Verification Property: A Principled Case Study.
Proceedings of the Computer Aided Verification - 34th International Conference, 2022

2021
Towards Scalable Verification of RL-Driven Systems.
CoRR, 2021

An SMT-Based Approach for Verifying Binarized Neural Networks.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2021

Use and Perceptions of Multi-Monitor Workstations: A Natural Experiment.
Proceedings of the 8th IEEE/ACM International Workshop on Software Engineering Research and Industrial Practice, 2021

Towards Scalable Verification of Deep Reinforcement Learning.
Proceedings of the Formal Methods in Computer Aided Design, 2021


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