J. D. (Juan Diego) Cardenas Cartagena

Docenten AI

Faculteit Science and Engineering

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j.d.cardenas.cartagena rug.nl

Homepage ORCID Research Portal

Publicaties

Interpretable Function Approximation with Gaussian Processes in Value-Based Model-Free Reinforcement Learning

van der Lende, M., Sabatelli, M. & Cardenas-Cartagena, J., 2025, Proceedings of the Northern Lights Deep Learning Workshop 2025. ML Research Press, blz. 141-154 14 blz. (Proceedings of Machine Learning Research; vol. 265).

Onderzoeksoutput › › peer review

Physics-Informed Graph Neural Networks for Air Pollution Forecasting in the Netherlands

Assiotis, N., Hau, R., Oldenburg, V., Verbiest, R., Koellermeier, J., Sabatelli, M. & Cárdenas-Cartagena, J., jan.-2025, In: Proceedings of Machine Learning Research. 277, 24 blz.

Onderzoeksoutput › › peer review

Uncovering Internal Prediction Mechanisms of Transformer-Based Chemical Foundation Models

Muller, A., Cardenas Cartagena, D. & Pollice, R., 14-nov.-2025, (Submitted) ChemRxiv, 11 blz.

Onderzoeksoutput: Voordruk ›

Upside-Down Reinforcement Learning for More Interpretable Optimal Control

Cardenas-Cartagena, J., Falzari, M., Zullich, M. & Sabatelli, M., 2025, 17th International Conference on Agents and Artificial Intelligence. SciTePress, blz. 859-869 11 blz. (International Conference on Agents and Artificial Intelligence; vol. 1).

Onderzoeksoutput › › peer review

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