The Machine Learning group develops the next generation of artificial agents — individually intelligent, collectively aware, and socially capable. Our research spans reinforcement learning, foundation models, natural language processing, pattern recognition, and agentic intelligence.
2026
Conference
Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions
Bar-Shalom, Guy and Frasca, Fabrizio and Lim, Derek and Gelberg, Yoav and Ziser, Yftah and El-Yaniv, Ran and Chechik, Gal and Maron, Haggai
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)
Natural Language ProcessingTrustworthy AIGenerative AI
CodeMMR: Bridging Natural Language, Code, and Image for Unified Retrieval
Jiahui Geng and
Qing Li and
Fengyu Cai and
Fakhri Karray
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Natural Language Processing
From Actions to Words: Towards Abstractive-Textual Policy Summarization in RL
Admoni, Sahar and Hallak, Assaf and Ziser, Yftah and Ben-Porat, Omer and Amir, Ofra
Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS)
Reinforcement LearningNatural Language ProcessingGenerative AI
Neural Message-Passing on Attention Graphs for Hallucination Detection
Frasca, Fabrizio and Bar-Shalom, Guy and Ziser, Yftah and Maron, Haggai
Proceedings of the International Conference on Learning Representations (ICLR)
Deep LearningTrustworthy AI
Revisiting Weight Regularization for Low-Rank Continual Learning
Yaoyue Zheng and Yin Zhang and Joost van de Weijer and Gido M van de Ven and Shaoyi Du and Xuetao Zhang and Zhiqiang Tian
The Fourteenth International Conference on Learning Representations
Continual Learning
Preprint
An ε-Optimal Sequential Approach for Solving zs-POSGs
Erwan Escudie and Matthia Sabatelli and Jilles Dibangoye
Arkiv
Agentic Intelligence
Credible Sets: Generative Dynamic Programming for Leader-Follower General-Sum Stochastic Games
Jilles S. Dibangoye and Thibaut Le Marre and Ocan Sankur and François Schwarzentruber
Arkiv
Agentic Intelligence
Putting a Face to Forgetting: Continual Learning meets Mechanistic Interpretability
Sergi Masip and Gido M van de Ven and Javier Ferrando and Tinne Tuytelaars
Hamed Hemati and
Lorenzo Pellegrini and
Xiaotian Duan and
Zixuan Zhao and
Fangfang Xia and
Marc Masana and
Benedikt Tscheschner and
Eduardo E. Veas and
Yuxiang Zheng and
Shiji Zhao and
Shao-Yuan Li and
Sheng-Jun Huang and
Vincenzo Lomonaco and
Gido M. van de Ven
Dating ancient manuscripts using radiocarbon and AI-based writing style analysis
Mladen Popovic and Maruf A. Dhali and Lambert Schomaker and Johannes van der Plicht and Kaare Lund Rasmussen and Jacopo La Nasa and Ilaria Degano and Maria Perla Colombini and Eibert Tigchelaar
Out of sight, but not out of mind: Key issues regarding seafloor macrolitter monitoring
Georg Hanke and Miquel Canals and Ryota Nakajima and Melanie Bergmann and Francois Galgani and Daoji Li and George Papatheodorou and Christopher Kim Pham and Diva J Amon and Michela Angiolillo and Matias Valdenegro-Toro
Joshua T. Vogelstein and
Jayanta Dey and
Hayden S. Helm and
Will LeVine and
Ronak D. Mehta and
Tyler M. Tomita and
Haoyin Xu and
Ali Geisa and
Qingyang Wang and
Gido M. van de Ven and
Chenyu Gao and
Weiwei Yang and
Bryan Tower and
Jonathan Larson and
Christopher M. White and
Carey E. Priebe
IEEE Trans. Pattern Anal. Mach. Intell., vol. 47(11), pp. 10033–10046
Ghosh, Shaona and
Bhattacharjee, Amrita and
Ziser, Yftah and
Parisien, Christopher
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pp. 35128–35148
AbsHTMLNatural Language ProcessingTrustworthy AIGenerative AI
A Study on the Faithfulness of Feature Attribution Explanations in
Pruned Vision-Based Multi-Task Learning
Xenia Demetriou and
Sophie Sananikone and
Vojislav Tobias Westmoreland and
Matthia Sabatelli and
Marco Zullich
Joint Proceedings of the xAI 2025 Late-breaking Work, Demos and Doctoral
Consortium co-located with the 3rd World Conference on eXplainable
Artificial Intelligence (xAI 2025), Istanbul, Turkey, July 9-11, 2025, pp. 121–128
Trustworthy AIDeep Learning
Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured
Sparsity
Alessandro Pierro and
Steven Abreu and
Jonathan Timcheck and
Philipp Stratmann and
Andreas Wild and
Sumit Bam Shrestha
Forty-second International Conference on Machine Learning, ICML
2025, Vancouver, BC, Canada, July 13-19, 2025
Eric Brouwer and
Jan Erik van Woerden and
Gertjan J. Burghouts and
Matias Valdenegro-Toro and
Marco Zullich
Proceedings of the 20th International Joint Conference on Computer
Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP
2025 - Volume 2: VISAPP, Porto, Portugal, February 26-28, 2025, pp. 114–125
Proceedings of the 20th International Joint Conference on Computer
Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP
2025 - Volume 3: VISAPP, Porto, Portugal, February 26-28, 2025, pp. 188–199
Proceedings of the 14th International Conference on Pattern Recognition
Applications and Methods, ICPRAM 2025, Porto, Portugal, February
23-25, 2025, pp. 749–756
Josh Bruegger and
Diana Ioana Catana and
Vanja Macovaz and
Matias Valdenegro-Toro and
Matthia Sabatelli and
Marco Zullich
Artificial Intelligence in Music, Sound, Art and Design - 14th International
Conference, EvoMUSART 2025, Held as Part of EvoStar 2025, Trieste,
Italy, April 23-25, 2025, Proceedings, pp. 34–50
Proceedings of the 14th International Conference on Pattern Recognition
Applications and Methods, ICPRAM 2025, Porto, Portugal, February
23-25, 2025, pp. 757–763
Abhishek Ramanathapura Satyanarayana and
Maruf A. Dhali
Proceedings of the 14th International Conference on Pattern Recognition
Applications and Methods, ICPRAM 2025, Porto, Portugal, February
23-25, 2025, pp. 741–748
Lisa Koopmans and
Maruf A. Dhali and
Lambert Schomaker
Document Analysis and Recognition - ICDAR 2025 - 19th International
Conference, Wuhan, China, September 16-21, 2025, Proceedings, Part
III, pp. 391–407
Maniraj Sai Adapa and
Marco Zullich and
Matias Valdenegro-Toro
Proceedings of the 20th International Joint Conference on Computer
Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP
2025 - Volume 2: VISAPP, Porto, Portugal, February 26-28, 2025, pp. 367–374
Juan Cardenas-Cartagena and
Massimiliano Falzari and
Marco Zullich and
Matthia Sabatelli
Proceedings of the 17th International Conference on Agents and Artificial
Intelligence, ICAART 2025 - Volume 1, Porto, Portugal, February
23-25, 2025, pp. 859–869
Boosting Accuracy and Efficiency of Budget Forcing in LLMs via Reinforcement Learning for Mathematical Reasoning
Ravindra Aribowo Tarunokusumo and Rafael Fernandes Cunha
SLLM – Buck The Trend: Make LLMs Specific and Reduce the cost of Intelligence at ECAI
Reinforcement LearningGenerative AI
Collaborative Reinforcement Learning for Cyber Defense: Analysis of Strategies, and Policies
Davide Rigoni and Rafael F. Cunha and Frank Fransen and Puck de Haan and Amir Javadpour and Fatih Turkmen
1st International Workshop on Security and Privacy-Preserving AI/ML (SPAIML) at ECAI
Reinforcement LearningAgentic Intelligence
Cross-Lingual Document Recommendations with Transformer-Based Representations:
Evaluating Multilingual Models and Mapping Techniques
Tsegaye Misikir Tashu and
Eduard-Raul Kontos and
Matthia Sabatelli and
Matias Valdenegro-Toro
Proceedings of the 31st International Conference on Computational
Linguistics, COLING 2025 - Workshops, Abu Dhabi, UAE, January 19-24,
2025, pp. 39–47
Natural Language Processing
Difficulty Estimation in Natural Language Tasks with Action Scores
Aleksandar Angelov and Tsegaye Misikir Tashu and Matias Valdenegro-Toro
Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025)
Natural Language Processing
Mapping Cross-Lingual Sentence Representations for Low-Resource Language
Pairs Using Pre-trained Language Models
Andreea Ioana Tudor and
Tsegaye Misikir Tashu
Proceedings of the 31st International Conference on Computational
Linguistics, COLING 2025 - Workshops, Abu Dhabi, UAE, January 19-24,
2025, pp. 249–257
Natural Language Processing
No Supervision, No Problem: Pure Reinforcement Learning Improves Mathematical Reasoning in Small Language Models
Quinten Steringa and Matthia Sabatelli and Rafael Fernandes Cunha
SLLM – Buck The Trend: Make LLMs Specific and Reduce the cost of Intelligence at ECAI
Reinforcement LearningGenerative AI
Physics-Informed Graph Neural Networks for Air Pollution Forecasting in the Netherlands
Nikolas Assiotis and Rachel Hau and Valentijn Oldenburg and Rik Verbiest and Julian Koellermeier and Matthia Sabatelli and Juan Cardenas-Cartagena
ECAI Workshop on Machine Learning Meets Differential Equations: From Theory to Applications, pp. 47–70
Deep Learning
Seed Scheduling in Fuzz Testing as a Markov Decision Process
Rafael F. Cunha and Luca Muller and Thomas Rooijakkers and Puck de Haan and Fatih Turkmen
1st International Workshop on Security and Privacy-Preserving AI/ML (SPAIML) at ECAI
Reinforcement Learning
Uncertainty Quantification for Gradient-based Explanations in Neural
Networks
Mihir Mulye and
Matias Valdenegro-Toro
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops,
CVPR Workshops 2025, Nashville, TN, USA, June 11-15, 2025, pp. 1752–1760
Dustin Wang and
Rui-Jie Zhu and
Steven Abreu and
Yong Shan and
Taylor Kergan and
Yuqi Pan and
Yuhong Chou and
Zheng Li and
Ge Zhang and
Wenhao Huang and
Jason Eshraghian
Rupert Mitchell and
Antonio Alliegro and
Raffaello Camoriano and
Dustin Carrión-Ojeda and
Antonio Carta and
Georgia Chalvatzaki and
Nikhil Churamani and
Carlo D'Eramo and
Samin Hamidi and
Robin Hesse and
Fabian Hinder and
Roshni Ramanna Kamath and
Vincenzo Lomonaco and
Subarnaduti Paul and
Francesca Pistilli and
Tinne Tuytelaars and
Gido M van de Ven and
Kristian Kersting and
Simone Schaub-Meyer and
Martin Mundt
Shiqiang Wang and
Cong Zhao and
Shiqing Liu and
Yuntong Li and
Zhexin Xie and
Lie Chen and
Xiao Yu and
Feiyang Yuan and
Qiyi Zhang and
Mingjie Liu and
Wen Li
A Dynamic Session-Based Recommender System with Graph Neural Networks
Vrushali Mahajan and
Ermiyas Birihanu and
Tsegaye Misikir Tashu
Proceedings of the 24th Conference Information Technologies - Applications
and Theory (ITAT 2024), Drienica, Slovakia, September 20-24, 2024, pp. 31–36
Deep Learning
ANA-E: A Novel Approach for Pre-Trained Error Detection Models in Brain-Computer Interfaces
Alexandros Christopoulos and Matias Valdenegro-Toro and Andreea Ioana Sburlea
Proceedings of the 9th Graz Brain-Computer Interface Conference
Yifei Chen and
Lambert Schomaker and
Francisco Cruz
AI 2024: Advances in Artificial Intelligence - 37th Australasian
Joint Conference on Artificial Intelligence, AI 2024, Melbourne,
VIC, Australia, November 25-29, 2024, Proceedings, Part II, pp. 52–64
Alexander Hill and
Marc Groefsema and
Matthia Sabatelli and
Raffaella Carloni and
Marco Grzegorczyk
Proceedings of the 16th International Conference on Agents and Artificial
Intelligence, ICAART 2024, Volume 3, Rome, Italy, February 24-26,
2024, pp. 178–185
Jasper Wilfling and
Matias Valdenegro-Toro and
Marco Zullich
32nd European Symposium on Artificial Neural Networks, Computational
Intelligence and Machine Learning, ESANN 2024, Bruges, Belgium,
October 9-11, 2024
Filip Ilievski and
Barbara Hammer and
Frank van Harmelen and
Benjamin Paassen and
Sascha Saralajew and
Ute Schmid and
Michael Biehl and
Marianna Bolognesi and
Xin Luna Dong and
Kiril Gashteovski and
Pascal Hitzler and
Giuseppe Marra and
Pasquale Minervini and
Martin Mundt and
Axel-Cyrille Ngonga Ngomo and
Alessandro Oltramari and
Gabriella Pasi and
Zeynep G. Saribatur and
Luciano Serafini and
John Shawe-Taylor and
Vered Shwartz and
Gabriella Skitalinskaya and
Clemens Stachl and
Gido M. van de Ven and
Thomas Villmann
Hamed Hemati and
Lorenzo Pellegrini and
Xiaotian Duan and
Zixuan Zhao and
Fangfang Xia and
Marc Masana and
Benedikt Tscheschner and
Eduardo E. Veas and
Yuxiang Zheng and
Shiji Zhao and
Shao-Yuan Li and
Sheng-Jun Huang and
Vincenzo Lomonaco and
Gido M. van de Ven
Mladen Popovic and
Maruf A. Dhali and
Lambert Schomaker and
Johannes van der Plicht and
Kaare Lund Rasmussen and
Jacopo La Nasa and
Ilaria Degano and
Maria Perla Colombini and
Eibert Tigchelaar
Mladen Popovic and
Maruf A. Dhali and
Lambert Schomaker and
Johannes van der Plicht and
Kaare Lund Rasmussen and
Jacopo La Nasa and
Maria Perla Colombini and
Eibert Tigchelaar
Jens Egholm Pedersen and
Steven Abreu and
Matthias Jobst and
Gregor Lenz and
Vittorio Fra and
Felix Bauer and
Dylan Richard Muir and
Peng Zhou and
Bernhard Vogginger and
Kade M. Heckel and
Sadasivan Shankar and
Terrence C. Stewart and
Sadique Sheik and
Jason Eshraghian
Zhexin Xie and
Feiyang Yuan and
Jiaqi Liu and
Lufeng Tian and
Bohan Chen and
Zhongqiang Fu and
Sizhe Mao and
Tongtong Jin and
Yun Wang and
Xia He and
Gang Wang and
Yanru Mo and
Xilun Ding and
Yihui Zhang and
Cecilia Laschi and
Li Wen
Thomas Reynolds and
Maruf A. Dhali and
Lambert Schomaker
Proceedings of the 12th International Conference on Pattern Recognition
Applications and Methods, ICPRAM 2023, Lisbon, Portugal, February
22-24, 2023, pp. 697–706
Asmaa Haja and
Bart Van Der Woude and
Lambert Schomaker
Proceedings of the 10th International Conference on Biomedical and
Bioinformatics Engineering, ICBBE 2023, Kyoto, Japan, November 9-12,
2023, pp. 17–27
Lisa Koopmans and
Maruf A. Dhali and
Lambert Schomaker
Proceedings of the 12th International Conference on Pattern Recognition
Applications and Methods, ICPRAM 2023, Lisbon, Portugal, February
22-24, 2023, pp. 124–135
Adrian Lubitz and
Matias Valdenegro-Toro and
Frank Kirchner
Proceedings of the 18th International Joint Conference on Computer
Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP
2023, Volume 2: HUCAPP, Lisbon, Portugal, February 19-21, 2023, pp. 39–46
Eli Verwimp and
Rahaf Aljundi and
Shai Ben-David and
Matthias Bethge and
Andrea Cossu and
Alexander Gepperth and
Tyler L. Hayes and
Eyke Hüllermeier and
Christopher Kanan and
Dhireesha Kudithipudi and
Christoph H. Lampert and
Martin Mundt and
Razvan Pascanu and
Adrian Popescu and
Andreas S. Tolias and
Joost van de Weijer and
Bing Liu and
Vincenzo Lomonaco and
Tinne Tuytelaars and
Gido M. van de Ven
Jens Egholm Pedersen and
Steven Abreu and
Matthias Jobst and
Gregor Lenz and
Vittorio Fra and
Felix Christian Bauer and
Dylan R. Muir and
Peng Zhou and
Bernhard Vogginger and
Kade Heckel and
Gianvito Urgese and
Sadasivan Shankar and
Terrence C. Stewart and
Jason K. Eshraghian and
Sadique Sheik
Mladen Popovic and
Maruf A. Dhali and
Lambert Schomaker and
Johannes van der Plicht and
Kaare Lund Rasmussen and
Jacopo La Nasa and
Maria Perla Colombini and
Eibert Tigchelaar