Publicacions

Machine learning applications in marine animal movement

Medina Hernández, Jorge (Supervisors: Eguíluz, Víctor; Rodríguez, Jorge; Lacasa, Lucas)
PhD Thesis (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)

Predictability of temporal network dynamics in normal ageing and brain pathology

Caligiuri, Annalisa; Papo, David; Yener, Görsev; Güntekin, Bahar; Galla, Tobias; Lacasa, Lucas; Zanin, Massimiliano
Journal of Complex Networks 14, cnaf058 (2026)

Improving prediction region accuracy in marine animal movement with temporal fusion transformer

Medina Hernández, Jorge; Rodríguez, Jorge P.; McMahon, Clive R.; Sequeira, Ana M.M; Eguiluz, Víctor M.
Scientific Reports 16, 297 (2026)

Inferring leader-follower behavior from presence data in the marine environment: A case study on Reef Manta Rays

Fernández-Gracia,Juan;Rodríguez,Jorge P.;Peel,Lauren R.;Klemm,Konstantin;Meekan,Mark G.;Eguíluz,Víctor M.
PLOS Complex Systems 2, e0000073 (2025)

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)

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