no code implementations • 6 Apr 2022 • Oscar Fajardo-Fontiveros, Ignasi Reichardt, Harry R. De Los Rios, Jordi Duch, Marta Sales-Pardo, Roger Guimera
We show that this model-learning problem displays a transition from a low-noise phase in which the true model can be learned, to a phase in which the observation noise is too high for the true model to be learned by any method.
no code implementations • 26 Mar 2021 • Oscar Fajardo-Fontiveros, Marta Sales-Pardo, Roger Guimera
Network inference is the process of learning the properties of complex networks from data.
no code implementations • 9 Mar 2021 • Gael Poux-Medard, Sergio Cobo-Lopez, Jordi Duch, Roger Guimera, Marta Sales-Pardo
Many studies have shown that there are regularities in the way human beings make decisions.
1 code implementation • 25 Apr 2020 • Roger Guimera, Ignasi Reichardt, Antoni Aguilar-Mogas, Francesco A Massucci, Manuel Miranda, Jordi Pallares, Marta Sales-Pardo
Closed-form, interpretable mathematical models have been instrumental for advancing our understanding of the world; with the data revolution, we may now be in a position to uncover new such models for many systems from physics to the social sciences.
no code implementations • 10 Feb 2020 • Antonia Godoy-Lorite, Roger Guimera, Marta Sales-Pardo
With the overwhelming online products available in recent years, there is an increasing need to filter and deliver relevant personalized advice for users.
no code implementations • 5 Mar 2018 • Marc Tarres-Deulofeu, Antonia Godoy-Lorite, Roger Guimera, Marta Sales-Pardo
Because our models describe all layers simultaneously, our approach takes full advantage of the information contained in the whole network when making predictions about any particular layer.
1 code implementation • 5 Apr 2016 • Antonia Godoy-Lorite, Roger Guimera, Cristopher Moore, Marta Sales-Pardo
With ever-increasing amounts of online information available, modeling and predicting individual preferences-for books or articles, for example-is becoming more and more important.