4k citations · 12.7k across the 44 of their papers we have counts for
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Integral Bayesian symbolic regression for optimal discovery of governing equations from scarce and noisy data
Oriol Cabanas-Tirapu, Sergio Cobo-Lopez, Savannah E. Sanchez +3
Understanding how systems evolve over time often requires discovering the differential equations that govern their behavior. Automatically learning these equations from experimenta…
Bayesian estimation of information-theoretic metrics for sparsely sampled distributions
Angelo Piga, Lluc Font-Pomarol, Marta Sales-Pardo +1
Estimating the Shannon entropy of a discrete distribution from which we have only observed a small sample is challenging. Estimating other information-theoretic metrics, such as th…
Node metadata can produce predictability transitions in network inference problems
Oscar Fajardo-Fontiveros, Marta Sales-Pardo, Roger Guimera
Network inference is the process of learning the properties of complex networks from data. Besides using information about known links in the network, node attributes and other for…
Bayesian machine scientist to compare data collapses for the Nikuradse dataset
Ignasi Reichardt, Jordi Pallares Marta Sales-Pardo, Roger Guimera
Ever since Nikuradse's experiments on turbulent friction in 1933, there have been theoretical attempts to describe his measurements by collapsing the data into single-variable func…
Missing and spurious interactions and the reconstruction of complex networks
R. Guimera, M. Sales-Pardo
Network analysis is currently used in a myriad of contexts: from identifying potential drug targets to predicting the spread of epidemics and designing vaccination strategies, and…
Classes of complex networks defined by role-to-role connectivity profiles
R. Guimera, M. Sales-Pardo, L. A. N. Amaral
Interactions between units in phyical, biological, technological, and social systems usually give rise to intrincate networks with non-trivial structure, which critically affects t…