Lucas Lacasa
@wetuad
Complex Systems | CSIC senior scientist @IFISC_mallorca
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🚨new preprint !! How to describe, forecast or control the dynamics of temporal networks? A possible approach includes using fluid mechanical data-driven tools such as #POD and #DMD. Preprint: arxiv.org/abs/2509.03135
This has now been published in Physics of Fluids. 👉 doi.org/10.1063/5.0274…
🆕 Preprint on the use of Machine Learning tools (deep reinforcement learning + transfer learning) for aerodynamic optimization !! w/ David Ramos, Gonzalo Rubio & Eusebio Valero arxiv.org/pdf/2505.02634
"Opinion dynamics: Statistical physics and beyond" arxiv.org/abs/2507.11521 Review of lab experiments, data, models, analytical/computational tools. 93 pages, >1k references. With @ftw_baumann, @dgarcia_eu, @iniguezg, @MartonKarsai, @jalorenz, K. Sznajd-Weron. Led by @m_starnini
Not 0, not 1, but 2 great summer-like schools at @CRMatematica Barcelona! 1st @CompSysSoc Spanish Chapter CS3 Summer School, Sep 29-Oct 3 and XIII GEFENOL-@DIFENSC_RSEF School on StatPhys of Comples Systems Links below RT @Comsotec @omeuxeito @wetuad @svalver @rafaelprietoc 🙏
🚨New preprint !! Interpreting the training process of a neural network as a temporal network trajectory, we found a regime where such trajectory becomes chaotic. Rather than a nuisance, such chaotic mixing boosts training! w/ P. Jiménez, @miguelcsoriano arxiv.org/abs/2506.08523
4 postdoc positions in complex systems at IFISC, Palma de Mallorca (@IFISC_mallorca). Call open until 20/10/25, but positions may be filled starting immediately. If interested, please apply now. Candidates must be EU citizens.
📢 IFISC (UIB-CSIC) in Mallorca is offering up to 4 postdoctoral positions in complex systems science! 🔍 Topics: social systems, unconventional computing, life & environment. 📅 Deadline: 20/10/2025 🔗 Details: ifisc.uib-csic.es/en/about-ifisc…
📢 IFISC (UIB-CSIC) in Mallorca is offering up to 4 postdoctoral positions in complex systems science! 🔍 Topics: social systems, unconventional computing, life & environment. 📅 Deadline: 20/10/2025 🔗 Details: ifisc.uib-csic.es/en/about-ifisc…
🆕 Preprint on the use of Machine Learning tools (deep reinforcement learning + transfer learning) for aerodynamic optimization !! w/ David Ramos, Gonzalo Rubio & Eusebio Valero arxiv.org/pdf/2505.02634
🚨 Our paper (with @wetuad and @tobiasgalla) is out now in Chaos as an Editor's Pick! We use pseudo-distances to characterize the dynamics of unlabeled networks... pubs.aip.org/aip/cha/articl…
How we "guessed" the Pope using network science: inside the cardinal network. A study by me, Beppe Soda and Alessandro Iorio. Article: unibocconi.it/en/news/networ… @Unibocconi
Amazing work!!
The emergence of eukaryotes as an evolutionary algorithmic phase transition | PNAS pnas.org/doi/10.1073/pn…
This has now published in Expert Systems With Applications: shorturl.at/Olfig Great industry-academia collaboration @EsAirbus @aeroespacialUPM @esa @IFISC_mallorca
New preprint on a very practical roadmap: how to make and implement a thorough statistical validation pipeline of a machine learning solution in a real, industrial (aeronautical) use case. Great collaboration with @EsAirbus and @aeroespacialUPM arxiv.org/abs/2411.02075
We have looked at how 🧠evolves in graph space. We found that their network trajectories characterize well aging and brain pathologies. Details 👇
Predictability of temporal network dynamics in normal ageing and brain pathology (preprint with @_CaligiuriLisa_ ,@wetuad, @DrMZanin and others) arxiv.org/abs/2502.16557
Hiring a postdoc in higher-order social dynamics: we will be doing models AND experiments (!) 36k/year renewable up to 3 yrs. In Barcelona, of course ;) Please RT! upf.edu/web/wssc/postd…
Today, we are publishing the first-ever International AI Safety Report, backed by 30 countries and the OECD, UN, and EU. It summarises the state of the science on AI capabilities and risks, and how to mitigate those risks. 🧵 Link to full Report: assets.publishing.service.gov.uk/media/679a0c48… 1/16
Seems like... so long ago...
ChatGPT is mind blowing, no matter what, that’s my humble opinion. Many of my colleagues for whom I have the utmost respect make fun of it, I’m inclined to tell you: you are playing a bit the referee 2 attitude.
How to describe the dynamical properties of networks *with no labels* that change over time ? 🆕 preprint (with @_CaligiuriLisa_ @tobiasgalla ) arxiv.org/abs/2412.14864
Characterising the dynamics of unlabelled temporal networks (with @_CaligiuriLisa_ @wetuad) arxiv.org/abs/2412.14864 We use graph invariants to characterise time series of unlabelled networks, focusing on autocorrelation functions & sensitivity to initial conditions. We show >>>
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