Events
View allLatest news
View allJob Offers
View allLatest publications
View allTransforming Combinatorial Optimization Problems in Fourier Space: Consequences and Uses
Elorza, A.; Benavides, X.; Ceberio, J.; Hernando, L.; Lozano, J.A. (2024-09-10)
We analyze three permutation-based combinatorial optimization problems in Fourier space, namely, the quadratic assignment problem, the linear ordering problem (LOP), and the symmetric and nonsymmetric traveling salesperson p...
Learning the Graph Structure of Regular Vine-Copulas from Dependence Lists
Carrera, D.; Santana, R.; Lozano, J.A. (2025-01-01)
Regular vine copulas (R-vines) provide a comprehensive framework for modeling high- dimensional dependencies using a hierarchy of trees and conditional pair-copulas. While the graphical structure of R-vines is traditionall...
Self-Composing Policies for Scalable Continual Reinforcement Learning
Vadillo, J.; Santana, R.; Lozano, J.A. (2025-01-01)
Reliable deployment of machine learning models such as neural networks continues to be challenging due to several limitations. Some of the main shortcomings are the lack of interpretability and the lack of robustness again...
Self-Composing Policies for Scalable Continual Reinforcement Learning
Malagon, M.; Ceberio, J.; Lozano, J.A. (2025-01-01)
This work introduces a growable and modular neural network architecture that naturally avoids catastrophic forgetting and interference in con- tinual reinforcement learning. The structure of each module allows the select...