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Paolo Morettin
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Books and Theses
- 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
Journal Articles
- 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) - 2019
- [j2]Paolo Morettin
, Andrea Passerini
, Roberto Sebastiani:
Advanced SMT techniques for weighted model integration. Artif. Intell. 275: 1-27 (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)
Conference and Workshop Papers
- 2022
- [c11]Giuseppe Spallitta, Gabriele Masina, Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
SMT-based weighted model integration with structure awareness. UAI 2022: 1876-1885 - 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 - 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 - 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
Parts in Books or Collections
- 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
Informal and Other Publications
- 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
- [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
- [i4]Giuseppe Spallitta, Gabriele Masina
, Paolo Morettin, Andrea Passerini, Roberto Sebastiani:
SMT-based Weighted Model Integration with Structure Awareness. CoRR abs/2206.13856 (2022) - 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) - 2019
- [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)
Coauthor Index
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