Juan Cardenas-Cartagena

According to our database, Juan Cardenas-Cartagena authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Confidence Calibration in Large Language Model-Based Entity Matching.

Iris Kamsteeg, Juan Cardenas-Cartagena, Floris van Beers, Gineke A. ten Holt, Tsegaye Misikir Tashu, Matias Valdenegro-Toro

CoRR, September, 2025

Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning.

Aleksandar Todorov, Juan Cardenas-Cartagena, Rafael Fernandes Cunha, Marco Zullich, Matthia Sabatelli

Trans. Mach. Learn. Res., 2025

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

Matthijs van der Lende, Matthia Sabatelli, Juan Cardenas-Cartagena

Proceedings of the Northern Lights Deep Learning Conference, 2025

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

Nikolas Assiotis, Rachel Hau, Valentijn Oldenburg, Rik Verbiest, Julian Koellermeier, Matthia Sabatelli, Juan Cardenas-Cartagena

Proceedings of the 2nd ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", 2025

Upside-Down Reinforcement Learning for More Interpretable Optimal Control.

Juan Cardenas-Cartagena, Massimiliano Falzari, Marco Zullich, Matthia Sabatelli

Proceedings of the 17th International Conference on Agents and Artificial Intelligence, 2025

Explainable Spatial Modeling of Groundwater Nitrate Concentrations in the Netherlands.

Iulia Capralova, Juan Cardenas-Cartagena

Proceedings of the Workshop on AI-driven Data Engineering and Reusability for Earth and Space Sciences (DARES 2025) co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

2024

Forecasting Smog Clouds With Deep Learning.

Valentijn Oldenburg, Juan Cardenas-Cartagena, Matias Valdenegro-Toro

CoRR, 2024

2022

Forecasting Aquaponic Systems Behaviour With Recurrent Neural Networks Models.

Juan Cardenas-Cartagena, Mohamed Elnourani, Baltasar Beferull-Lozano

Proceedings of the 2022 Northern Lights Deep Learning Workshop, 2022

Risk-Aware Particle Filtering for State Estimation in Recirculating Aquaculture Systems.

Juan Cardenas-Cartagena, Baltasar Beferull-Lozano, Mohamed Elnourani, Daniel Romero

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022