Stefano Teso

Stefano Teso

Università degli Studi di Trento

H-index: 19

Europe-Italy

About Stefano Teso

Stefano Teso, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at Università degli Studi di Trento, specializes in the field of Machine Learning, Explainable AI, Interactive Machine Learning, Constraint Learning, Structured-output Prediction.

His recent articles reflect a diverse array of research interests and contributions to the field:

Learning To Guide Human Decision Makers With Vision-Language Models

BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts

Not all neuro-symbolic concepts are created equal: Analysis and mitigation of reasoning shortcuts

Neuro Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal

Interpretability Is in the Mind of the Beholder: A Causal Framework for Human-Interpretable Representation Learning

Semantic Loss Functions for Neuro-Symbolic Structured Prediction

How Faithful are Self-Explainable GNNs?

Personalized Algorithmic Recourse with Preference Elicitation

Stefano Teso Information

University

Position

Researcher

Citations(all)

1235

Citations(since 2020)

1124

Cited By

389

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

30

i10Index(since 2020)

30

Email

University Profile Page

Università degli Studi di Trento

Google Scholar

View Google Scholar Profile

Stefano Teso Skills & Research Interests

Machine Learning

Explainable AI

Interactive Machine Learning

Constraint Learning

Structured-output Prediction

Top articles of Stefano Teso

Title

Journal

Author(s)

Publication Date

Learning To Guide Human Decision Makers With Vision-Language Models

arXiv preprint arXiv:2403.16501

Debodeep Banerjee

Stefano Teso

Burcu Sayin Grunel

Andrea Passerini

2024/3/25

BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts

arXiv preprint arXiv:2402.12240

Emanuele Marconato

Samuele Bortolotti

Emile van Krieken

Antonio Vergari

Andrea Passerini

...

2024/2/19

Not all neuro-symbolic concepts are created equal: Analysis and mitigation of reasoning shortcuts

Advances in Neural Information Processing Systems

Emanuele Marconato

Stefano Teso

Antonio Vergari

Andrea Passerini

2024/2/13

Neuro Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal

arXiv preprint arXiv:2302.01242

Emanuele Marconato

Gianpaolo Bontempo

Elisa Ficarra

Simone Calderara

Andrea Passerini

...

2023/2/2

Interpretability Is in the Mind of the Beholder: A Causal Framework for Human-Interpretable Representation Learning

Entropy

Emanuele Marconato

Andrea Passerini

Stefano Teso

2023/11/22

Semantic Loss Functions for Neuro-Symbolic Structured Prediction

Kareem Ahmed

Stefano Teso

Paolo Morettin

Luca Di Liello

Pierfrancesco Ardino

...

2023

How Faithful are Self-Explainable GNNs?

arXiv preprint arXiv:2308.15096

Marc Christiansen

Lea Villadsen

Zhiqiang Zhong

Stefano Teso

Davide Mottin

2023/8/29

Personalized Algorithmic Recourse with Preference Elicitation

Giovanni De Toni

Paolo Viappiani

Stefano Teso

Bruno Lepri

Andrea Passerini

2023

Learning to Guide Human Experts via Personalized Large Language Models

arXiv preprint arXiv:2308.06039

Debodeep Banerjee

Stefano Teso

Andrea Passerini

2023/8/11

Leveraging explanations in interactive machine learning: An overview

Stefano Teso

Öznur Alkan

Wolfgang Stammer

Elizabeth Daly

2023

To Transfer or Not to Transfer and Why? Meta-Transfer Learning for Explainable and Controllable Cross-Individual Activity Recognition

Electronics

Qiang Shen

Stefano Teso

Fausto Giunchiglia

Hao Xu

2023/5/18

Neuro-Symbolic Reasoning Shortcuts: Mitigation Strategies and their Limitations

arXiv preprint arXiv:2303.12578

Emanuele Marconato

Stefano Teso

Andrea Passerini

2023/3/22

Workshop on Interactive Machine Learning

Elizabeth Daly

Oznur Alkan

Stefano Teso

Wolfgang Stammer

2022/2/28

Catastrophic Forgetting in Continual Concept Bottleneck Models

Emanuele Marconato

Gianpaolo Bontempo

Stefano Teso

Elisa Ficarra

Simone Calderara

...

2022/5/23

Explanations in Interactive Machine Learning

Stefano Teso

Oznur Alkan

Elizabeth Daly

Wolfgang Stammer

2022/2/21

Machine Learning for Utility Prediction in Argument-Based Computational Persuasion

proceedings of the AAAI conference on artificial intelligence

Ivan Donadello

Anthony Hunter

Stefano Teso

Mauro Dragoni

2022/6/28

Efficient and Reliable Probabilistic Interactive Learning with Structured Outputs

arXiv preprint arXiv:2202.08566

Stefano Teso

Antonio Vergari

2022/2/17

Concept-level Debugging of Part-Prototype Networks

arXiv preprint arXiv:2205.15769

Andrea Bontempelli

Stefano Teso

Fausto Giunchiglia

Andrea Passerini

2022/5/31

Learning Max-SAT from Contextual Examples for Combinatorial Optimisation

Artificial Intelligence

Mohit Kumar

Samuel Kolb

Stefano Teso

Luc De Raedt

2023/1/1

Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens

arXiv preprint arXiv:2205.10157

Stefano Teso

Laurens Bliek

Andrea Borghesi

Michele Lombardi

Neil Yorke-Smith

...

2022/5/20

See List of Professors in Stefano Teso University(Università degli Studi di Trento)

Co-Authors

H-index: 73
Luc De Raedt

Luc De Raedt

Katholieke Universiteit Leuven

H-index: 65
Fausto Giunchiglia

Fausto Giunchiglia

Università degli Studi di Trento

H-index: 64
Kristian Kersting

Kristian Kersting

Technische Universität Darmstadt

H-index: 47
Roberto Sebastiani

Roberto Sebastiani

Università degli Studi di Trento

H-index: 40
Guy Van den Broeck

Guy Van den Broeck

University of California, Los Angeles

H-index: 31
Andrea Passerini

Andrea Passerini

Università degli Studi di Trento

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