Stefano Teso

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 93

Top Venues

University of Trento, Italy (PHD)

Education History

University of Trento, Italy

PHD

Publications

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 (2024)
Debodeep Banerjee, Stefano Teso, Burcu Sayin, Andrea Passerini
Learning To Guide Human Decision Makers With Vision-Language Models. CoRR (2024)
Giovanni De Toni, Paolo Viappiani, Stefano Teso, Bruno Lepri, Andrea Passerini
Personalized Algorithmic Recourse with Preference Elicitation. Trans. Mach. Learn. Res. 2024 (2024)
Cristiana Lalletti, Stefano Teso
Spurious Correlations in Concept Drift: Can Explanatory Interaction Help? CoRR (2024)
Diego Calanzone, Stefano Teso, Antonio Vergari
Towards Logically Consistent Language Models via Probabilistic Reasoning. CoRR (2024)
Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini
Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs. CoRR (2024)
Emanuele Marconato, Samuele Bortolotti, Emile van Krieken, Antonio Vergari, Andrea Passerini, Stefano Teso
BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts. CoRR (2024)
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 (2024)
Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso
Neuro Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal. CoRR (2023)
Emanuele Marconato, Stefano Teso, Antonio Vergari, Andrea Passerini
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts. NeurIPS (2023)
Marc Christiansen, Lea Villadsen, Zhiqiang Zhong, Stefano Teso, Davide Mottin
How Faithful are Self-Explainable GNNs? CoRR (2023)
Emanuele Marconato, Stefano Teso, Antonio Vergari, Andrea Passerini
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts. CoRR (2023)
Emanuele Marconato, Andrea Passerini, Stefano Teso
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation Learning. CoRR (2023)
Emanuele Marconato, Stefano Teso, Andrea Passerini
Neuro-Symbolic Reasoning Shortcuts: Mitigation Strategies and their Limitations. CoRR (2023)
Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari
Semantic Probabilistic Layers for Neuro-Symbolic Learning. NeSy (2023)
Emanuele Marconato, Andrea Passerini, Stefano Teso
GlanceNets: Interpretable, Leak-proof Concept-based Models. NeSy (2023)
Debodeep Banerjee, Stefano Teso, Andrea Passerini
Learning to Guide Human Experts via Personalized Large Language Models. CoRR (2023)
Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal. ICML (2023)
Emanuele Marconato, Stefano Teso, Andrea Passerini
Neuro-Symbolic Reasoning Shortcuts: Mitigation Strategies and their Limitations. NeSy (2023)
Andrea Bontempelli, Stefano Teso, Katya Tentori, Fausto Giunchiglia, Andrea Passerini
Concept-level Debugging of Part-Prototype Networks. ICLR (2023)
Stefano Teso, Öznur Alkan, Wolfgang Stammer, Elizabeth Daly
Leveraging explanations in interactive machine learning: An overview. Frontiers Artif. Intell. 6 (2023)
Emanuele Marconato, Andrea Passerini, Stefano Teso
Interpretability Is in the Mind of the Beholder: A Causal Framework for Human-Interpretable Representation Learning. Entropy 25 (12) (2023)
Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt
Learning MAX-SAT from contextual examples for combinatorial optimisation. Artif. Intell. 314 (2023)
Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini, Stefano Teso
Human-in-the-loop handling of knowledge drift. Data Min. Knowl. Discov. 36 (5) (2022)
Andrea Bontempelli, Marcelo Rodas Britez, Xiaoyue Li, Haonan Zhao, Luca Erculiani, Stefano Teso, Andrea Passerini, Fausto Giunchiglia
Lifelong Personal Context Recognition. CoRR (2022)
Emanuele Marconato, Andrea Passerini, Stefano Teso
GlanceNets: Interpretable, Leak-proof Concept-based Models. NeurIPS (2022)
Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari
Semantic Probabilistic Layers for Neuro-Symbolic Learning. CoRR (2022)
Qiang Shen, Haotian Feng, Rui Song, Stefano Teso, Fausto Giunchiglia, Hao Xu
Federated Multi-Task Attention for Cross-Individual Human Activity Recognition. IJCAI (2022)
Emanuele Marconato, Gianpaolo Bontempo, Stefano Teso, Elisa Ficarra, Simone Calderara, Andrea Passerini
Catastrophic Forgetting in Continual Concept Bottleneck Models. ICIAP Workshops (2022)
Stefano Teso, Laurens Bliek, Andrea Borghesi, Michele Lombardi, Neil Yorke-Smith, Tias Guns, Andrea Passerini
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens. CoRR (2022)
Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari
Semantic Probabilistic Layers for Neuro-Symbolic Learning. NeurIPS (2022)
Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation. CoRR (2022)
Stefano Teso, Antonio Vergari
Efficient and Reliable Probabilistic Interactive Learning with Structured Outputs. CoRR (2022)
Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini
Concept-level Debugging of Part-Prototype Networks. CoRR (2022)
Emanuele Marconato, Andrea Passerini, Stefano Teso
GlanceNets: Interpretabile, Leak-proof Concept-based Models. CoRR (2022)
Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. AAAI (2022)
Stefano Teso, Öznur Alkan, Wolfgang Stammer, Elizabeth Daly
Leveraging Explanations in Interactive Machine Learning: An Overview. CoRR (2022)
Paolo Dragone, Stefano Teso, Andrea Passerini
Neuro-Symbolic Constraint Programming for Structured Prediction. CoRR (2021)
Wanyi Zhang, Qiang Shen, Stefano Teso, Bruno Lepri, Andrea Passerini, Ivano Bison, Fausto Giunchiglia
Putting human behavior predictability in context. EPJ Data Sci. 10 (1) (2021)
Stefano Teso, Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini
Interactive Label Cleaning with Example-based Explanations. CoRR (2021)
Stefano Teso, Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini
Interactive Label Cleaning with Example-based Explanations. NeurIPS (2021)
Freya Behrens, Stefano Teso, Davide Mottin
Bandits for Learning to Explain from Explanations. CoRR (2021)
Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. CoRR (2021)
Paolo Morettin, Andrea Passerini, Stefano Teso
Co-creating Platformer Levels with Constrained Adversarial Networks. IUI Workshops (2021)
Paolo Dragone, Stefano Teso, Andrea Passerini
Neuro-Symbolic Constraint Programming for Structured Prediction. NeSy (2021)
Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference. NeurIPS (2021)
Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini, Stefano Teso
Toward a Unified Framework for Debugging Gray-box Models. CoRR (2021)
Andrea Bontempelli, Fausto Giunchiglia, Andrea Passerini, Stefano Teso
Human-in-the-loop Handling of Knowledge Drift. CoRR (2021)
Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck
A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries. CoRR (2021)
Paolo Campigotto, Stefano Teso, Roberto Battiti, Andrea Passerini
Learning Modulo Theories for constructive preference elicitation. Artif. Intell. 295 (2021)
Mohit Kumar, Samuel Kolb, Luc De Raedt, Stefano Teso
Learning Mixed-Integer Linear Programs from Contextual Examples. CoRR (2021)
Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini
Learning in the Wild with Incremental Skeptical Gaussian Processes. IJCAI (2020)
Samuel Kolb, Stefano Teso, Anton Dries, Luc De Raedt
Predictive spreadsheet autocompletion with constraints. Mach. Learn. 109 (2) (2020)
Mohit Kumar, Samuel Kolb, Stefano Teso, Luc De Raedt
Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation. AAAI (2020)
Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Paolo Morettin, Stefano Teso, Andrea Passerini
Efficient Generation of Structured Objects with Constrained Adversarial Networks. CoRR (2020)
Teodora Popordanoska, Mohit Kumar, Stefano Teso
Machine Guides, Human Supervises: Interactive Learning with Global Explanations. CoRR (2020)
Clément Gautrais, Yann Dauxais, Samuel Kolb, Arcchit Jain, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt
VisualSynth: Democratizing Data Science in Spreadsheets. ECML/PKDD (5) (2020)
Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini
Learning in the Wild with Incremental Skeptical Gaussian Processes. CoRR (2020)
Clément Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, Luc De Raedt
Human-Machine Collaboration for Democratizing Data Science. CoRR (2020)
Qiang Shen, Stefano Teso, Wanyi Zhang, Hao Xu, Fausto Giunchiglia
Multi-Modal Subjective Context Modelling and Recognition. MRC@ECAI (2020)
Teodora Popordanoska, Mohit Kumar, Stefano Teso
Toward Machine-Guided, Human-Initiated Explanatory Interactive Learning. CoRR (2020)
Paolo Morettin, Samuel Kolb, Stefano Teso, Andrea Passerini
Learning Weighted Model Integration Distributions. AAAI (2020)
Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting
Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations. CoRR (2020)
Qiang Shen, Stefano Teso, Wanyi Zhang, Hao Xu, Fausto Giunchiglia
Multi-Modal Subjective Context Modelling and Recognition. CoRR (2020)
Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Paolo Morettin, Stefano Teso, Andrea Passerini
Efficient Generation of Structured Objects with Constrained Adversarial Networks. NeurIPS (2020)
Patrick Schramowski, Wolfgang Stammer, Stefano Teso, Anna Brugger, Franziska Herbert, Xiaoting Shao, Hans-Georg Luigs, Anne-Katrin Mahlein, Kristian Kersting
Making deep neural networks right for the right scientific reasons by interacting with their explanations. Nat. Mach. Intell. 2 (8) (2020)
Stefano Teso, Oliver Hinz
Challenges in Interactive Machine Learning. Künstliche Intell. 34 (2) (2020)
Elias Arnold Schede, Samuel Kolb, Stefano Teso
Learning Linear Programs from Data. ICTAI (2019)
Stefano Teso
Constraint Learning: An Appetizer. Reasoning Web (2019)
Stefano Teso, Luca Masera, Michelangelo Diligenti, Andrea Passerini
Combining learning and constraints for genome-wide protein annotation. BMC Bioinform. 20 (1) (2019)
Mohit Kumar, Stefano Teso, Patrick De Causmaecker, Luc De Raedt
Automating Personnel Rostering by Learning Constraints Using Tensors. ICTAI (2019)
Stefano Teso, Kristian Kersting
Explanatory Interactive Machine Learning. AIES (2019)
Mohit Kumar, Stefano Teso, Luc De Raedt
Acquiring Integer Programs from Data. IJCAI (2019)
Stefano Teso
Does Symbolic Knowledge Prevent Adversarial Fooling? CoRR (2019)
Yann Dauxais, Clément Gautrais, Anton Dries, Arcchit Jain, Samuel Kolb, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt
SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract). PKDD/ECML Workshops (1) (2019)
Luc De Raedt, Andrea Passerini, Stefano Teso
Learning Constraints From Examples. AAAI (2018)
Paolo Dragone, Stefano Teso, Andrea Passerini
Pyconstruct: Constraint Programming Meets Structured Prediction. IJCAI (2018)
Stefano Teso, Kristian Kersting
"Why Should I Trust Interactive Learners?" Explaining Interactive Queries of Classifiers to Users. CoRR (2018)
Luca Erculiani, Paolo Dragone, Stefano Teso, Andrea Passerini
Automating Layout Synthesis with Constructive Preference Elicitation. ECML/PKDD (3) (2018)
Paolo Dragone, Stefano Teso, Andrea Passerini
Constructive Preference Elicitation Over Hybrid Combinatorial Spaces. AAAI (2018)
Samuel Kolb, Stefano Teso, Andrea Passerini, Luc De Raedt
Learning SMT(LRA) Constraints using SMT Solvers. IJCAI (2018)
Luc De Raedt, Hendrik Blockeel, Samuel Kolb, Stefano Teso, Gust Verbruggen
Elements of an Automatic Data Scientist. IDA (2018)
Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini
Decomposition Strategies for Constructive Preference Elicitation. AAAI (2018)
Mohit Kumar, Stefano Teso, Luc De Raedt
Automating Personnel Rostering by Learning Constraints Using Tensors. CoRR (2018)
Stefano Teso, Paolo Dragone, Andrea Passerini
Coactive Critiquing: Elicitation of Preferences and Features. AAAI (2017)
Paolo Dragone, Stefano Teso, Mohit Kumar, Andrea Passerini
Decomposition Strategies for Constructive Preference Elicitation. CoRR (2017)
Paolo Dragone, Stefano Teso, Andrea Passerini
Constructive Preference Elicitation. Frontiers Robotics AI 4 (2017)
Stefano Teso, Andrea Passerini, Paolo Viappiani
Constructive Preference Elicitation for Multiple Users with Setwise Max-margin. ADT (2017)
Stefano Teso, Roberto Sebastiani, Andrea Passerini
Structured learning modulo theories. Artif. Intell. 244 (2017)
Paolo Dragone, Stefano Teso, Andrea Passerini
Constructive Preference Elicitation over Hybrid Combinatorial Spaces. CoRR (2017)
Stefano Teso, Paolo Dragone, Andrea Passerini
Coactive Critiquing: Elicitation of Preferences and Features. CoRR (2016)
Stefano Teso, Andrea Passerini, Paolo Viappiani
Constructive Preference Elicitation by Setwise Max-margin Learning. CoRR (2016)
Stefano Teso, Andrea Passerini, Paolo Viappiani
Constructive Preference Elicitation by Setwise Max-Margin Learning. IJCAI (2016)
Claudio Saccà, Stefano Teso, Michelangelo Diligenti, Andrea Passerini
Improved multi-level protein¿protein interaction prediction with semantic-based regularization. BMC Bioinform. 15 (2014)
Stefano Teso, Roberto Sebastiani, Andrea Passerini
Hybrid SRL with Optimization Modulo Theories. CoRR (2014)
Elisa Cilia, Stefano Teso, Sergio Ammendola, Tom Lenaerts, Andrea Passerini
Predicting virus mutations through statistical relational learning. BMC Bioinform. 15 (2014)
Stefano Teso, Roberto Sebastiani, Andrea Passerini
Structured Learning Modulo Theories. CoRR (2014)
Stefano Teso, Andrea Passerini
Joint probabilistic-logical refinement of multiple protein feature predictors. BMC Bioinform. 15 (2014)
Stefano Teso, Jacopo Staiano, Bruno Lepri, Andrea Passerini, Fabio Pianesi
Ego-centric Graphlets for Personality and Affective States Recognition. SocialCom (2013)
Elisa Cilia, Stefano Teso, Sergio Ammendola, Tom Lenaerts, Andrea Passerini
Predicting virus mutations through relational learning. AIMM (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stefano Teso