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Luca Marzari
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2020 – today
- 2024
- [c12]Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli, Ferdinando Cicalese:
Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees. AAAI 2024: 21387-21394 - [c11]Luca Marzari, Francesco Leofante, Ferdinando Cicalese, Alessandro Farinelli:
Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations. ECAI 2024: 1059-1066 - [c10]Federico Bianchi, Alberto Castellini, Alessandro Farinelli, Luca Marzari, Daniele Meli, Francesco Trotti, Celeste Veronese:
Developing safe and explainable autonomous agents: from simulation to the real world. Ital-IA 2024: 129-134 - [i12]Luca Marzari, Changliu Liu, Priya L. Donti, Enrico Marchesini:
Improving Policy Optimization via ε-Retrain. CoRR abs/2406.08315 (2024) - [i11]Tianhao Wei, Luca Marzari, Kai S. Yun, Hanjiang Hu, Peizhi Niu, Xusheng Luo, Changliu Liu:
ModelVerification.jl: a Comprehensive Toolbox for Formally Verifying Deep Neural Networks. CoRR abs/2407.01639 (2024) - [i10]Luca Marzari, Francesco Leofante, Ferdinando Cicalese, Alessandro Farinelli:
Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations. CoRR abs/2407.07482 (2024) - 2023
- [c9]Luca Marzari, Gabriele Roncolato, Alessandro Farinelli:
Scaling #DNN-Verification Tools with Efficient Bound Propagation and Parallel Computing (regular paper). AIRO@AI*IA 2023: 92-106 - [c8]Enrico Marchesini, Luca Marzari, Alessandro Farinelli, Christopher Amato:
Safe Deep Reinforcement Learning by Verifying Task-Level Properties. AAMAS 2023: 1466-1475 - [c7]Luca Marzari, Enrico Marchesini
, Alessandro Farinelli
Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation. ICRA 2023: 7133-7139 - [c6]Luca Marzari, Davide Corsi, Ferdinando Cicalese, Alessandro Farinelli
The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks. IJCAI 2023: 217-224 - [c5]Davide Corsi, Luca Marzari, Ameya Pore
Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation. IROS 2023: 10289-10294 - [c4]Federico Bianchi, Davide Corsi, Luca Marzari, Daniele Meli, Francesco Trotti, Maddalena Zuccotto, Alberto Castellini, Alessandro Farinelli:
Safe and Efficient Reinforcement Learning for Environmental Monitoring. Ital-IA 2023: 610-615 - [c3]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 - [i9]Luca Marzari, Davide Corsi, Ferdinando Cicalese, Alessandro Farinelli:
The #DNN-Verification problem: Counting Unsafe Inputs for Deep Neural Networks. CoRR abs/2301.07068 (2023) - [i8]Luca Marzari, Enrico Marchesini
Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation. CoRR abs/2302.06695 (2023) - [i7]Enrico Marchesini
Safe Deep Reinforcement Learning by Verifying Task-Level Properties. CoRR abs/2302.10030 (2023) - [i6]Davide Corsi, Luca Marzari, Ameya Pore
Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation. CoRR abs/2303.03207 (2023) - [i5]Luca Marzari, Davide Corsi, Enrico Marchesini
Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees. CoRR abs/2308.09842 (2023) - [i4]Luca Marzari, Gabriele Roncolato, Alessandro Farinelli:
Scaling #DNN-Verification Tools with Efficient Bound Propagation and Parallel Computing. CoRR abs/2312.05890 (2023) - 2022
- [c2]Luca Marzari
Curriculum learning for safe mapless navigation. SAC 2022: 766-769 - [i3]Guy Amir, Davide Corsi, Raz Yerushalmi, Luca Marzari, David Harel, Alessandro Farinelli
Verifying Learning-Based Robotic Navigation Systems. CoRR abs/2205.13536 (2022) - 2021
- [c1]Luca Marzari
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks. ICAR 2021: 640-645 - [i2]Luca Marzari, Ameya Pore, Diego Dall'Alba, Gerardo Aragon-Camarasa, Alessandro Farinelli, Paolo Fiorini:
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks. CoRR abs/2102.04022 (2021) - [i1]Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli:
Curriculum Learning for Safe Mapless Navigation. CoRR abs/2112.12490 (2021)
Coauthor Index
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