Lucas Lacasa
@wetuad.bsky.social
Complex Systems | CSIC tenured scientist @ifisc.uib-csic.es
https://sites.google.com/view/lucaslacasa/
https://sites.google.com/view/lucaslacasa/
🚨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
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
September 4, 2025 at 9:17 AM
🚨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
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
🚨 Just published !!
How to extract a *scalar time series* that accurately captures the dynamics of a whole temporal network ?
#netsci2025 too bad I missed you.
Great Collab w/ Lluís Arola, Naoki Masuda and F. Javier Marín
Open access --> www.sciencedirect.com/science/arti...
How to extract a *scalar time series* that accurately captures the dynamics of a whole temporal network ?
#netsci2025 too bad I missed you.
Great Collab w/ Lluís Arola, Naoki Masuda and F. Javier Marín
Open access --> www.sciencedirect.com/science/arti...
June 5, 2025 at 7:53 AM
🚨 Just published !!
How to extract a *scalar time series* that accurately captures the dynamics of a whole temporal network ?
#netsci2025 too bad I missed you.
Great Collab w/ Lluís Arola, Naoki Masuda and F. Javier Marín
Open access --> www.sciencedirect.com/science/arti...
How to extract a *scalar time series* that accurately captures the dynamics of a whole temporal network ?
#netsci2025 too bad I missed you.
Great Collab w/ Lluís Arola, Naoki Masuda and F. Javier Marín
Open access --> www.sciencedirect.com/science/arti...
🆕 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
w/ David Ramos, Gonzalo Rubio & Eusebio Valero
arxiv.org/pdf/2505.02634
May 15, 2025 at 9:45 AM
🆕 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
w/ David Ramos, Gonzalo Rubio & Eusebio Valero
arxiv.org/pdf/2505.02634
How to describe the dynamical properties of networks *with no labels* that change over time ?
🆕 preprint
(with @_CaligiuriLisa_ @tobiasgalla.bsky.social)
arxiv.org/abs/2412.14864
🆕 preprint
(with @_CaligiuriLisa_ @tobiasgalla.bsky.social)
arxiv.org/abs/2412.14864
December 20, 2024 at 7:06 AM
How to describe the dynamical properties of networks *with no labels* that change over time ?
🆕 preprint
(with @_CaligiuriLisa_ @tobiasgalla.bsky.social)
arxiv.org/abs/2412.14864
🆕 preprint
(with @_CaligiuriLisa_ @tobiasgalla.bsky.social)
arxiv.org/abs/2412.14864
🚨 New preprint out!
We build **scalar** time series embeddings of temporal networks !
The key enabling insight : the relevant feature of each network snapshot... is just its distance to every other snapshot!
Work w/ FJ Marín, N. Masuda, L. Arola-Fernández
arxiv.org/abs/2412.02715
We build **scalar** time series embeddings of temporal networks !
The key enabling insight : the relevant feature of each network snapshot... is just its distance to every other snapshot!
Work w/ FJ Marín, N. Masuda, L. Arola-Fernández
arxiv.org/abs/2412.02715
December 5, 2024 at 8:30 AM
🚨 New preprint out!
We build **scalar** time series embeddings of temporal networks !
The key enabling insight : the relevant feature of each network snapshot... is just its distance to every other snapshot!
Work w/ FJ Marín, N. Masuda, L. Arola-Fernández
arxiv.org/abs/2412.02715
We build **scalar** time series embeddings of temporal networks !
The key enabling insight : the relevant feature of each network snapshot... is just its distance to every other snapshot!
Work w/ FJ Marín, N. Masuda, L. Arola-Fernández
arxiv.org/abs/2412.02715
Hi Bluesky! My first skytweet is to reflect on how more is different when individual AIs come together arxiv.org/abs/2310.12802 #complexsystems #emergence #machinelearning
November 5, 2023 at 2:46 PM
Hi Bluesky! My first skytweet is to reflect on how more is different when individual AIs come together arxiv.org/abs/2310.12802 #complexsystems #emergence #machinelearning