| 2026 | AAAI | Human Cognitive Biases in Explanation-based Interaction: The Case of Within and Between Session Order Effect. | Dario Pesenti, Alessandro Bogani, Katya Tentori, Stefano Teso |
| 2025 | ICLR | Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs. | Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini |
| 2025 | ICLR | Logically Consistent Language Models via Neuro-Symbolic Integration. | Diego Calanzone, Stefano Teso, Antonio Vergari |
| 2025 | ICML | Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective. | Steve Azzolin, Sagar Malhotra, Andrea Passerini, Stefano Teso |
| 2024 | UAI | BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts. | Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, Antonio Vergari, Andrea Passerini, Stefano Teso |
| 2023 | ICLR | Concept-level Debugging of Part-Prototype Networks. | Andrea Bontempelli, Stefano Teso, Katya Tentori, Fausto Giunchiglia, Andrea Passerini |
| 2023 | ICML | Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal. | Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso |
| 2023 | NeSy | Semantic Probabilistic Layers for Neuro-Symbolic Learning. | Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari |
| 2023 | NeSy | GlanceNets: Interpretable, Leak-proof Concept-based Models. | Emanuele Marconato, Andrea Passerini, Stefano Teso |
| 2023 | NeSy | Neuro-Symbolic Reasoning Shortcuts: Mitigation Strategies and their Limitations. | Emanuele Marconato, Stefano Teso, Andrea Passerini |
| 2022 | AAAI | Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. | Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni |
| 2022 | ICIAP | Catastrophic Forgetting in Continual Concept Bottleneck Models. | Emanuele Marconato, Gianpaolo Bontempo, Stefano Teso, Elisa Ficarra, Simone Calderara, Andrea Passerini |
| 2022 | IJCAI | Federated Multi-Task Attention for Cross-Individual Human Activity Recognition. | Qiang Shen, Haotian Feng, Rui Song, Stefano Teso, Fausto Giunchiglia, Hao Xu |
| 2021 | IUI | Co-creating Platformer Levels with Constrained Adversarial Networks. | Paolo Morettin, Andrea Passerini, Stefano Teso |
| 2021 | NeSy | Neuro-Symbolic Constraint Programming for Structured Prediction. | Paolo Dragone, Stefano Teso, Andrea Passerini |
| 2020 | AAAI | Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation. | Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt |
| 2020 | AAAI | Learning Weighted Model Integration Distributions. | Paolo Morettin, Samuel Kolb, Stefano Teso, Andrea Passerini |
| 2020 | ECAI | Multi-Modal Subjective Context Modelling and Recognition. | Qiang Shen, Stefano Teso, Wanyi Zhang, Hao Xu, Fausto Giunchiglia |
| 2020 | IJCAI | Learning in the Wild with Incremental Skeptical Gaussian Processes. | Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini |
| 2019 | AIES | Explanatory Interactive Machine Learning. | Stefano Teso, Kristian Kersting |
| 2019 | IJCAI | Acquiring Integer Programs from Data. | Mohit Kumar, Stefano Teso, Luc De Raedt |
| 2019 | ICTAI | Automating Personnel Rostering by Learning Constraints Using Tensors. | Mohit Kumar, Stefano Teso, Patrick De Causmaecker, Luc De Raedt |
| 2019 | ICTAI | Learning Linear Programs from Data. | Elias Arnold Schede, Samuel Kolb, Stefano Teso |
| 2018 | AAAI | Decomposition Strategies for Constructive Preference Elicitation. | Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini |
| 2018 | AAAI | Constructive Preference Elicitation Over Hybrid Combinatorial Spaces. | Paolo Dragone, Stefano Teso, Andrea Passerini |
| 2018 | AAAI | Learning Constraints From Examples. | Luc De Raedt, Andrea Passerini, Stefano Teso |
| 2018 | IJCAI | Pyconstruct: Constraint Programming Meets Structured Prediction. | Paolo Dragone, Stefano Teso, Andrea Passerini |
| 2018 | IJCAI | Learning SMT(LRA) Constraints using SMT Solvers. | Samuel Kolb, Stefano Teso, Andrea Passerini, Luc De Raedt |
| 2018 | IDA | Elements of an Automatic Data Scientist. | Luc De Raedt, Hendrik Blockeel, Samuel Kolb, Stefano Teso, Gust Verbruggen |
| 2017 | AAAI | Coactive Critiquing: Elicitation of Preferences and Features. | Stefano Teso, Paolo Dragone, Andrea Passerini |
| 2016 | IJCAI | Constructive Preference Elicitation by Setwise Max-Margin Learning. | Stefano Teso, Andrea Passerini, Paolo Viappiani |
| 2012 | ECCB | Predicting virus mutations through relational learning. | Elisa Cilia, Stefano Teso, Sergio Ammendola, Tom Lenaerts, Andrea Passerini |
| 2010 | ICPR | From On-Going to Complete Activity Recognition Exploiting Related Activities. | Carlo Nicolini, Bruno Lepri, Stefano Teso, Andrea Passerini |