2 papers
physics.flu-dyn2025
Can Transformers overcome the lack of data in the simulation of history-dependent flows?
P. Urdeitx, I. Alfaro, D. Gonzalez +2
It is well known that the lack of information about certain variables necessary for the description of a dynamical system leads to the introduction of historical dependence (lack o…
cs.LG2024
A comparison of Single- and Double-generator formalisms for Thermodynamics-Informed Neural Networks
Pau Urdeitx, Icíar Alfaro, David González +2
The development of inductive biases has been shown to be a very effective way to increase the accuracy and robustness of neural networks, particularly when they are used to predict…