Teso, Stefano

33 publications

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

ICLR 2025 Logically Consistent Language Models via Neuro-Symbolic Integration Diego Calanzone, Stefano Teso, Antonio Vergari

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

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

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

NeurIPSW 2024 Logically Consistent Language Models via Neuro-Symbolic Integration Diego Calanzone, Stefano Teso, Antonio Vergari

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

ICLRW 2024 Towards Logically Consistent Language Models via Probabilistic Reasoning Diego Calanzone, Antonio Vergari, Stefano Teso

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

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

IJCAI 2022 Federated Multi-Task Attention for Cross-Individual Human Activity Recognition Qiang Shen, Haotian Feng, Rui Song, Stefano Teso, Fausto Giunchiglia, Hao Xu

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

AAAI 2022 Machine Learning for Utility Prediction in Argument-Based Computational Persuasion Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni

NeurIPS 2022 Semantic Probabilistic Layers for Neuro-Symbolic Learning Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari

NeurIPS 2021 A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck

NeurIPS 2021 Interactive Label Cleaning with Example-Based Explanations Stefano Teso, Andrea Bontempelli, Fausto Giunchiglia, 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 MAX-SAT from Contextual Examples for Combinatorial Optimisation Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt

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

MLJ 2020 Predictive Spreadsheet Autocompletion with Constraints Samuel Kolb, Stefano Teso, Anton Dries, Luc De Raedt

ECML-PKDD 2020 VisualSynth: Democratizing Data Science in Spreadsheets Clément Gautrais, Yann Dauxais, Samuel Kolb, Arcchit Jain, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt

IJCAI 2019 Acquiring Integer Programs from Data Mohit Kumar, Stefano Teso, 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 2016 Constructive Preference Elicitation by Setwise Max-Margin Learning Stefano Teso, Andrea Passerini, Paolo Viappiani