Stefano Teso

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Andrea PasseriniAssociate Professor, University of TrentoVerificeret mail på disi.unitn.it
Luc De Raedtprofessor, KU Leuven & guestprofessor, Örebro UniversityVerificeret mail på cs.kuleuven.be
Fausto GiunchigliaProfessor of Computer Science, Università di TrentoVerificeret mail på unitn.it
Antonio VergariReader (Associate Professor), University of Edinburgh, UKVerificeret mail på ed.ac.uk
Samuel KolbKU LeuvenVerificeret mail på kuleuven.be
Paolo DragoneTwitterVerificeret mail på twitter.com
Emanuele MarconatoUniversity of Pisa and University of TrentoVerificeret mail på unitn.it
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Co-Director hessian.ai, DFKI, CAIRNE, ELLISVerificeret mail på cs.tu-darmstadt.de
Mohit KumarPhD Student, KU LeuvenVerificeret mail på cs.kuleuven.be
Wolfgang StammerTechnical University DarmstadtVerificeret mail på cs.tu-darmstadt.de
Andrea BontempelliUniversity of TrentoVerificeret mail på unitn.it
Guy Van den BroeckProfessor and Samueli Fellow, UCLAVerificeret mail på cs.ucla.edu
Bruno LepriFondazione Bruno Kessler/Ipazia S.p.a.Verificeret mail på fbk.eu
Paolo MorettinAssistant professor (RTD-A), University of TrentoVerificeret mail på unitn.it
qiang shenPh.D student of computer scienceVerificeret mail på mails.jlu.edu.cn
Anne-Katrin MahleinInstitute of Sugar Beet Research, GöttingenVerificeret mail på ifz-goettingen.de
Patrick SchramowskiTU DarmstadtVerificeret mail på cs.tu-darmstadt.de
YooJung ChoiAssistant Professor, Arizona State UniversityVerificeret mail på asu.edu
Anji LiuPh.D. Student of Computer Science, UCLAVerificeret mail på cs.ucla.edu
Xiaoting ShaoTU DarmstadtVerificeret mail på cs.tu-darmstadt.de

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Stefano Teso

Senior Assistant Professor, University of Trento

Verificeret mail på unitn.it

Machine Learning Explainable AI Interactive Machine Learning Neuro-Symbolic AI Constraints


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Making deep neural networks right for the right scientific reasons by interacting with their explanations P Schramowski, W Stammer, S Teso, A Brugger, F Herbert, X Shao, ... Nature Machine Intelligence 2 (8), 476-486, 2020	278	2020
Explanatory interactive machine learning S Teso, K Kersting Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 239-245, 2019	277	2019
Learning constraints from examples L De Raedt, A Passerini, S Teso Thirty-Second AAAI Conference on Artificial Intelligence, 2018	99	2018
Semantic probabilistic layers for neuro-symbolic learning K Ahmed, S Teso, KW Chang, G Van den Broeck, A Vergari Advances in Neural Information Processing Systems 35, 29944-29959, 2022	97	2022
A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries A Vergari, YJ Choi, A Liu, S Teso, GV Broeck Advances in Neural Information Processing Systems 34, 2021	74*	2021
Leveraging explanations in interactive machine learning: An overview S Teso, Ö Alkan, W Stammer, E Daly Frontiers in Artificial Intelligence 6, 2023	61	2023
Glancenets: Interpretable, leak-proof concept-based models E Marconato, A Passerini, S Teso Advances in Neural Information Processing Systems 35, 21212-21227, 2022	60	2022
Learning SMT (LRA) constraints using SMT solvers S Kolb, S Teso, A Passerini, L De Raedt Proceedings of the Twenty-Seventh International Joint Conference on …, 2018	59	2018
Structured learning modulo theories S Teso, R Sebastiani, A Passerini Artificial Intelligence 244, 166-187, 2017	51	2017
Concept-level Debugging of Part-Prototype Networks A Bontempelli, S Teso, F Giunchiglia, A Passerini arXiv preprint arXiv:2205.15769, 2022	47	2022
Interactive label cleaning with example-based explanations S Teso, A Bontempelli, F Giunchiglia, A Passerini Advances in Neural Information Processing Systems 34, 2021	43	2021
Constructive preference elicitation by setwise max-margin learning S Teso, A Passerini, P Viappiani arXiv preprint arXiv:1604.06020, 2016	39	2016
Putting human behavior predictability in context W Zhang, Q Shen, S Teso, B Lepri, A Passerini, I Bison, F Giunchiglia EPJ Data Science 10 (1), 42, 2021	37	2021
Efficient Generation of Structured Objects with Constrained Adversarial Networks L Di Liello, P Ardino, J Gobbi, P Morettin, S Teso, A Passerini Advances in Neural Information Processing Systems 33, 2020	37*	2020
Not all neuro-symbolic concepts are created equal: Analysis and mitigation of reasoning shortcuts E Marconato, S Teso, A Vergari, A Passerini Advances in Neural Information Processing Systems 36, 2024	30	2024
Federated Multi-Task Attention for Cross-Individual Human Activity Recognition Q Shen, H Feng, R Song, S Teso, F Giunchiglia, H Xu International Joint Conference on Artificial Intelligence, 2022	27	2022
Constructive preference elicitation P Dragone, S Teso, A Passerini Frontiers in Robotics and AI 4, 71, 2018	25	2018
Neuro-Symbolic Constraint Programming for Structured Prediction P Dragone, S Teso, A Passerini 15th International Workshop on Neural-Symbolic Learning and Reasoning, 2021	24	2021
Toward Faithful Explanatory Active Learning with Self-explainable Neural Nets S Teso Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2019), 4-16, 2019	22	2019
Investigating the association between social interactions and personality states dynamics D Gundogdu, AN Finnerty, J Staiano, S Teso, A Passerini, F Pianesi, ... Royal Society open science 4 (9), 170194, 2017	22	2017

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