Passerini, Andrea

56 publications

UAI 2025 A Probabilistic Neuro-Symbolic Layer for Algebraic Constraint Satisfaction Leander Kurscheidt, Paolo Morettin, Roberto Sebastiani, Andrea Passerini, Antonio Vergari

TMLR 2025 A Self-Explainable Heterogeneous GNN for Relational Deep Learning Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger

ICML 2025 Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective Steve Azzolin, Sagar Malhotra, Andrea Passerini, Stefano Teso

NeurIPS 2025 Bridging Theory and Practice in Link Representation with Graph Neural Networks Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini, Manfred Jaeger

ICLR 2025 Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini

NeurIPS 2025 Shortcuts and Identifiability in Concept-Based Models from a Neuro-Symbolic Lens Samuele Bortolotti, Emanuele Marconato, Paolo Morettin, Andrea Passerini, Stefano Teso

ICML 2025 Simple Path Structural Encoding for Graph Transformers Louis Airale, Antonio Longa, Mattia Rigon, Andrea Passerini, Roberto Passerone

LoG 2025 xAI-Drop: Don’t Use What You Cannot Explain Vincenzo Marco De Luca, Antonio Longa, Pietro Lio, Andrea Passerini

NeurIPS 2024 A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini

ICMLW 2024 A Simple and Expressive Graph Neural Network Based Method for Structural Link Representation Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini

UAI 2024 BEARS Make Neuro-Symbolic Models Aware of Their Reasoning Shortcuts Emanuele Marconato, Samuele Bortolotti, Emile Krieken, Antonio Vergari, Andrea Passerini, Stefano Teso

TMLR 2024 Personalized Algorithmic Recourse with Preference Elicitation Giovanni De Toni, Paolo Viappiani, Stefano Teso, Bruno Lepri, Andrea Passerini

ICMLW 2024 Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians Olga Zaghen, Antonio Longa, Steve Azzolin, Lev Telyatnikov, Andrea Passerini, Pietro Lio

LoG 2023 A Simple Latent Variable Model for Graph Learning and Inference Manfred Jaeger, Antonio Longa, Steve Azzolin, Oliver Schulte, Andrea Passerini

ICLR 2023 Concept-Level Debugging of Part-Prototype Networks Andrea Bontempelli, Stefano Teso, Katya Tentori, Fausto Giunchiglia, Andrea Passerini

LoG 2023 Generalized Reasoning with Graph Neural Networks by Relational Bayesian Network Encodings Raffaele Pojer, Andrea Passerini, Manfred Jaeger

ICLR 2023 Global Explainability of GNNs via Logic Combination of Learned Concepts Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Lio, Andrea Passerini

TMLR 2023 Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, Franco Scarselli, Andrea Passerini

LoG 2023 Meta-Path Learning for Multi-Relational Graph Neural Networks Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger

ICML 2023 Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso

NeurIPS 2023 Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts Emanuele Marconato, Stefano Teso, Antonio Vergari, Andrea Passerini

MLJ 2023 Synthesizing Explainable Counterfactual Policies for Algorithmic Recourse with Program Synthesis Giovanni De Toni, Bruno Lepri, Andrea Passerini

NeurIPS 2022 GlanceNets: Interpretable, Leak-Proof Concept-Based Models Emanuele Marconato, Andrea Passerini, Stefano Teso

NeurIPSW 2022 GlanceNets: Interpretable, Leak-Proof Concept-Based Models Emanuele Marconato, Andrea Passerini, Stefano Teso

UAI 2022 SMT-Based Weighted Model Integration with Structure Awareness Giuseppe Spallitta, Gabriele Masina, Paolo Morettin, Andrea Passerini, Roberto Sebastiani

IJCAI 2021 Hybrid Probabilistic Inference with Logical and Algebraic Constraints: A Survey Paolo Morettin, Pedro Zuidberg Dos Martires, Samuel Kolb, Andrea Passerini

NeurIPS 2021 Interactive Label Cleaning with Example-Based Explanations Stefano Teso, Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini

IJCAI 2021 Learning Aggregation Functions Giovanni Pellegrini, Alessandro Tibo, Paolo Frasconi, Andrea Passerini, Manfred Jaeger

NeurIPSW 2021 Learning Compositional Programs with Arguments and Sampling Giovanni De Toni, Luca Erculiani, Andrea Passerini

NeurIPS 2020 Efficient Generation of Structured Objects with Constrained Adversarial Networks Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Paolo Morettin, Stefano Teso, Andrea Passerini

AAAI 2020 Learning Weighted Model Integration Distributions Paolo Morettin, Samuel Kolb, Stefano Teso, Andrea Passerini

IJCAI 2020 Learning in the Wild with Incremental Skeptical Gaussian Processes Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini

IJCAI 2019 The Pywmi Framework and Toolbox for Probabilistic Inference Using Weighted Model Integration Samuel Kolb, Paolo Morettin, Pedro Zuidberg Dos Martires, Francesco Sommavilla, Andrea Passerini, Roberto Sebastiani, Luc De Raedt

AAAI 2018 Constructive Preference Elicitation over Hybrid Combinatorial Spaces Paolo Dragone, Stefano Teso, Andrea Passerini

AAAI 2018 Decomposition Strategies for Constructive Preference Elicitation Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini

AAAI 2018 Learning Constraints from Examples Luc De Raedt, Andrea Passerini, Stefano Teso

IJCAI 2018 Learning SMT(LRA) Constraints Using SMT Solvers Samuel Kolb, Stefano Teso, Andrea Passerini, Luc De Raedt

IJCAI 2018 Pyconstruct: Constraint Programming Meets Structured Prediction Paolo Dragone, Stefano Teso, Andrea Passerini

AAAI 2017 Coactive Critiquing: Elicitation of Preferences and Features Stefano Teso, Paolo Dragone, Andrea Passerini

IJCAI 2017 Efficient Weighted Model Integration via SMT-Based Predicate Abstraction Paolo Morettin, Andrea Passerini, Roberto Sebastiani

AAAI 2016 Component Caching in Hybrid Domains with Piecewise Polynomial Densities Vaishak Belle, Guy Van den Broeck, Andrea Passerini

IJCAI 2016 Constructive Preference Elicitation by Setwise Max-Margin Learning Stefano Teso, Andrea Passerini, Paolo Viappiani

MLJ 2016 Guest Editors' Introduction to the EcmlPkdd 2016 Journal Track Special Issue of Machine Learning Thomas Gärtner, Mirco Nanni, Andrea Passerini, Céline Robardet

IJCAI 2016 Hashing-Based Approximate Probabilistic Inference in Hybrid Domains: An Abridged Report Vaishak Belle, Guy Van den Broeck, Andrea Passerini

IJCAI 2015 Bootstrapping Domain Ontologies from Wikipedia: A Uniform Approach Daniil Mirylenka, Andrea Passerini, Luciano Serafini

UAI 2015 Hashing-Based Approximate Probabilistic Inference in Hybrid Domains Vaishak Belle, Guy Van den Broeck, Andrea Passerini

IJCAI 2015 Probabilistic Inference in Hybrid Domains by Weighted Model Integration Vaishak Belle, Andrea Passerini, Guy Van den Broeck

ECML-PKDD 2013 ScienScan - An Efficient Visualization and Browsing Tool for Academic Search Daniil Mirylenka, Andrea Passerini

ECML-PKDD 2012 Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy Marco Lippi, Andrea Passerini, Marco Punta, Paolo Frasconi

MLJ 2011 Relational Information Gain Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andrea Passerini

MLJ 2010 Fast Learning of Relational Kernels Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi

AAAI 2010 Predicting Structural and Functional Sites in Proteins by Searching for Maximum-Weight Cliques Franco Mascia, Elisa Cilia, Mauro Brunato, Andrea Passerini

NeurIPS 2008 Predicting the Geometry of Metal Binding Sites from Protein Sequence Paolo Frasconi, Andrea Passerini

JMLR 2006 Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting Andrea Passerini, Paolo Frasconi, Luc De Raedt

AAAI 2006 kFOIL: Learning Simple Relational Kernels Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi

IJCAI 2005 Kernels on Prolog Ground Terms Andrea Passerini, Paolo Frasconi