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2020 – today
- 2024
[j3]Giuseppe Spallitta, Gabriele Masina
, Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
Enhancing SMT-based Weighted Model Integration by structure awareness. Artif. Intell. 328: 104067 (2024)- [i9]Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
A Unified Framework for Probabilistic Verification of AI Systems via Weighted Model Integration. CoRR abs/2402.04892 (2024) - [i8]Kareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van den Broeck:
Semantic Loss Functions for Neuro-Symbolic Structured Prediction. CoRR abs/2405.07387 (2024) - [i7]Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini:
A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts. CoRR abs/2406.10368 (2024) - 2023
- [p1]Kareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van den Broeck:
Semantic Loss Functions for Neuro-Symbolic Structured Prediction. Compendium of Neurosymbolic Artificial Intelligence 2023: 485-505 - [i6]Giuseppe Spallitta, Gabriele Masina, Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
Enhancing SMT-based Weighted Model Integration by Structure Awareness. CoRR abs/2302.06188 (2023) - [i5]Vincent Derkinderen, Pedro Zuidberg Dos Martires, Samuel Kolb, Paolo Morettin:
Top-Down Knowledge Compilation for Counting Modulo Theories. CoRR abs/2306.04541 (2023) - 2022
- [b1]Paolo Morettin:
Learning and Reasoning in Hybrid Structured Spaces. Frontiers in Artificial Intelligence and Applications 350, IOS Press 2022, ISBN 978-1-64368-266-2, pp. 1-100 - [c11]Giuseppe Spallitta, Gabriele Masina, Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
SMT-based weighted model integration with structure awareness. UAI 2022: 1876-1885 - [i4]Giuseppe Spallitta, Gabriele Masina, Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
SMT-based Weighted Model Integration with Structure Awareness. CoRR abs/2206.13856 (2022) - 2021
- [c10]Paolo Morettin, Pedro Zuidberg Dos Martires, Samuel Kolb, Andrea Passerini:
Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey. IJCAI 2021: 4533-4542 - [c9]Paolo Morettin, Andrea Passerini, Stefano Teso:
Co-creating Platformer Levels with Constrained Adversarial Networks. IUI Workshops 2021 - 2020
- [c8]Paolo Morettin, Samuel Kolb, Stefano Teso, Andrea Passerini:
Learning Weighted Model Integration Distributions. AAAI 2020: 5224-5231 - [c7]Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck:
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing. ICML 2020: 10990-11000 - [c6]Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Paolo Morettin, Stefano Teso, Andrea Passerini:
Efficient Generation of Structured Objects with Constrained Adversarial Networks. NeurIPS 2020 - [c5]Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck:
Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations. NeurIPS 2020 - [i3]Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck:
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing. CoRR abs/2003.00126 (2020) - [i2]Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Paolo Morettin, Stefano Teso, Andrea Passerini:
Efficient Generation of Structured Objects with Constrained Adversarial Networks. CoRR abs/2007.13197 (2020)
2010 – 2019
- 2019
- [j2]Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
Advanced SMT techniques for weighted model integration. Artif. Intell. 275: 1-27 (2019) - [c4]Samuel Kolb, Paolo Morettin, Pedro Zuidberg Dos Martires, Francesco Sommavilla, Andrea Passerini, Roberto Sebastiani, Luc De Raedt:
The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration. IJCAI 2019: 6530-6532 - [i1]Zhe Zeng, Fanqi Yan, Paolo Morettin, Antonio Vergari, Guy Van den Broeck:
Hybrid Probabilistic Inference with Logical Constraints: Tractability and Message Passing. CoRR abs/1909.09362 (2019) - 2018
- [j1]Francesco Asnicar, Luca Masera, Emanuela Coller, Caterina Gallo, Nadir Sella, Thomas Tolio, Paolo Morettin, Luca Erculiani, Francesca Galante, Stanislau Semeniuta, Giulia Malacarne, Kristof Engelen, Andrea Argentini, Valter Cavecchia, Claudio Moser, Enrico Blanzieri:
NES2RA. Int. J. High Perform. Comput. Appl. 32(3): 380-392 (2018) - 2017
- [c3]Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
Efficient Weighted Model Integration via SMT-Based Predicate Abstraction. IJCAI 2017: 720-728 - [c2]Paolo Morettin:
Probabilistic Inference in Hybrid Domains. IJCAI 2017: 5193-5194 - 2015
- [c1]Francesco Asnicar, Luca Erculiani, Francesca Galante, Caterina Gallo, Luca Masera, Paolo Morettin, Nadir Sella, Stanislau Semeniuta, Thomas Tolio, Giulia Malacarne, Kristof Engelen, Andrea Argentini, Valter Cavecchia, Claudio Moser, Enrico Blanzieri:
Discovering Candidates for Gene Network Expansion by Distributed Volunteer Computing. TrustCom/BigDataSE/ISPA (3) 2015: 248-253
Coauthor Index
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