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About us Practical matters How to find us M.A. (Matias) Valdenegro Toro, Dr

M.A. (Matias) Valdenegro Toro, Dr

Assistant Professor of Machine Learning

Faculty of Science and Engineering

Telephone:

+31 50 36 36533

E-mail:

m.a.valdenegro.toro rug.nl

ORCID Research Portal

Research interests

My research interests are in building trustworthy machine learning models with real-world data for several applications, including medical AI and Robotics. These relate to Uncertainty Estimation, Computer Vision, and Explainable AI.

Publications

Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning

Brouwer, E., Woerden, J. E. V., Burghouts, G., Valdenegro-Toro, M. & Zullich, M., 2025, Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Vol. 2. p. 114-125 12 p. (Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Can Bayesian Neural Networks Explicitly Model Input Uncertainty?

Valdenegro-Toro, M. & Zullich, M., 2025, Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3 VISAPP: VISAPP. Bashford-Rogers, T., Meneveaux, D., Ammi, M., Ziat, M., Jänicke, S., Purchase, H., Radeva, P., Furnari, A., Bouatouch, K. & Sousa, A. A. (eds.). SCITEPRESS – Science and Technology Publications, Vol. 3. p. 188-199 12 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Cross-Lingual Document Recommendations with Transformer-Based Representations: Evaluating Multilingual Models and Mapping Techniques

Tashu, T. M., Kontos, E. R., Sabatelli, M. & Valdenegro-Toro, M., 2025, COLING 2025 - SUMEval 2025: 2nd Workshop on Scaling Up Multilingual and Multi-Cultural Evaluation, Proceedings of the Workshop. ACL, p. 39-47 9 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Large-Image Object Detection for Fine-Grained Recognition of Punches Patterns in Medieval Panel Painting

Bruegger, J., Cătană, D. I., Macovaz, V., Valdenegro-Toro, M., Sabatelli, M. & Zullich, M., 2025, Artificial Intelligence in Music, Sound, Art and Design - 14th International Conference, EvoMUSART 2025, Held as Part of EvoStar 2025, Proceedings. Machado, P., Johnson, C. & Santos, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 34-50 17 p. (Lecture Notes in Computer Science; vol. 15611 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

NLP Methods May Actually Be Better Than Professors at Estimating Question Difficulty

Zotos, L., de Jong, I. P., Valdenegro-Toro, M., Sburlea, A. I., Nissim, M. & van Rijn, H., 5-Aug-2025, (Submitted) 2nd International Workshop on AI in Society, Education and Educational Research (AISEER). CEUR Workshop Proceedings, 10 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Sanity Checks for Explanation Uncertainty

Valdenegro-Toro, M. & Mulye, M., 12-May-2025, Computer Vision – ECCV 2024 Workshops, Proceedings. Del Bue, A., Canton, C., Pont-Tuset, J. & Tommasi, T. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 15639. p. 255-270 16 p. (Lecture Notes in Computer Science; vol. 15639 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Uncertainty Estimation for Super-Resolution Using ESRGAN

Adapa, M. S., Zullich, M. & Valdenegro-Toro, M., 2025, Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SciTePress, Vol. 2. p. 367-374 8 p. (Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Uncertainty Quantification for Motor Imagery BCI - Machine Learning vs. Deep Learning

Suurmeijer, J., de Jong, I. P., Valdenegro-Toro, M. & Sburlea, A. I., 10-Jul-2025, (Submitted) arXiv.

Research output: Working paper › Preprint › Academic

A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation

Abdelrahman, A. F., Valdenegro-Toro, M., Bennewitz, M. & Plöger, P. G., 14-Nov-2024, In: International Journal of Robotics Research. 44, 5, p. 768–804 36 p.

Research output: Contribution to journal › Article › Academic › peer-review

How disentangled are your classification uncertainties?

de Jong, I. P., Sburlea, A. I. & Valdenegro-Toro, M., 22-Aug-2024, 11 p.

Research output: Working paper › Preprint › Academic

All (30) publications

Press/media

Participation in Podcast "Hacia Afuera"

Valdenegro Toro, M.

06/01/2023

Press/Media: Public Engagement Activities › Professional

All (1) press/media

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