3 papers
cs.LG2025
MonoKAN: Certified Monotonic Kolmogorov-Arnold Network
Alejandro Polo-Molina, David Alfaya, Jose Portela
Artificial Neural Networks (ANNs) have significantly advanced various fields by effectively recognizing patterns and solving complex problems. Despite these advancements, their int…
cs.LG2025
A mathematical certification for positivity conditions in Neural Networks with applications to partial monotonicity and Trustworthy AI
Alejandro Polo-Molina, David Alfaya, Jose Portela
Artificial Neural Networks (ANNs) have become a powerful tool for modeling complex relationships in large-scale datasets. However, their black-box nature poses trustworthiness chal…
cs.CE2025
Modeling Membrane Degradation in PEM Electrolyzers with Physics-Informed Neural Networks
Alejandro Polo-Molina, Jose Portela, Luis Alberto Herrero Rozas +1
Proton exchange membrane (PEM) electrolyzers are pivotal for sustainable hydrogen production, yet their long-term performance is hindered by membrane degradation, which poses relia…