Publications

Fluid dynamics meet network science: two cases of temporal network eigendecomposition

Lacasa, Lucas
Submitted (2026)

On the equivalence between nonlinear graph-based dynamics and linear dynamics on higher-order networks

Lacasa, Lucas
Submitted (2026)

On the Role of Consistency Between Physics and Data in Physics-Informed Neural Networks

Becerra-Zuñiga, Nicolás; Lacasa, Lucas; Valero, Eusebio; Rubio, Gonzalo
Submitted (2026)

Reliable Statistical Guarantees for Conformal Predictors with Small Datasets

Sánchez-Dominguez, Miguel; Lacasa, Lucas; de Vicente, Javier; Rubio, Gonzalo; Valero, Eusebio
Submitted (2026)

Leveraging chaotic transients in the training of artificial neural networks

Jiménez-González, Pedro; Soriano, Miguel C.; Lacasa, Lucas
Submitted (2026)

A certifiable machine learning-based pipeline to predict fatigue life of aircraft structures

Ladrón, Angel; Sánchez-Domínguez, Miguel; Rozalén, Javier; Sánchez, Fernando R.; de Vicente, Javier; Lacasa, Lucas; Valero, Eusebio; Rubio, Gonzalo
Engineering Failure Analysis 184, 110334 (2026)

Hardware friendly deep reservoir computing

Gallicchio, Claudio; Soriano, Miguel C.
Neural Networks 193, 108079 (2026)

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraints

Ramos, David; Lacasa, Lucas; Valero, Eusebio; Rubio, Gonzalo
Physics of Fluids 37, (2025)

Effective theory of collective deep learning

Arola-Fernández, Lluís; Lacasa, Lucas
Physical Review Research 6, L042040 (2024)

Adaptive control of recurrent neural networks using conceptors

Pourcel, Guillaume; Goldmann, Mirko; Fischer, Ingo; Soriano, Miguel C.
Chaos 34, 103127 (2024)

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