activity
20162026
most citedDeep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

498 citations · 1.6k across the 46 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

q-bio.PE2023★ 2 cited

Quantifying Hierarchical Selection

Hardik Rajpal, Clem von Stengel, Pedro A. M. Mediano +4

At what level does selective pressure effectively act? When considering the reproductive dynamics of interacting and mutating agents, it has long been debated whether selection is…

q-bio.NC2023★ 4 cited

Information decomposition reveals hidden high-order contributions to temporal irreversibility

Andrea I Luppi, Fernando E. Rosas, Gustavo Deco +2

Temporal irreversibility, often referred to as the arrow of time, is a fundamental concept in statistical mechanics. Markers of irreversibility also provide a powerful characterisa…

cs.SI2023

Quantifying synergy and redundancy in multiplex networks

Andrea I. Luppi, Eckehard Olbrich, Conor Finn +4

Understanding how different networks relate to each other is key for obtaining a greater insight into complex systems. Here, we introduce an intuitive yet powerful framework to cha…

stat.ML2023★ 1 cited

Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions

Zhaolu Liu, Robert L. Peach, Pedro A. M. Mediano +1

Models that rely solely on pairwise relationships often fail to capture the complete statistical structure of the complex multivariate data found in diverse domains, such as socio-…

nlin.AO2023

Dynamical noise can enhance high-order statistical structure in complex systems

Patricio Orio, Pedro A. M. Mediano, Fernando E. Rosas

Recent research has provided a wealth of evidence highlighting the pivotal role of high-order interdependencies in supporting the information-processing capabilities of distributed…

cs.IT2023

A Logarithmic Decomposition for Information

Keenan J. A. Down, Pedro A. M. Mediano

The Shannon entropy of a random variable has much behaviour analogous to a signed measure. Previous work has concretized this connection by defining a signed measure on an…

q-bio.QM2023★ 1 cited

Bayesian at heart: Towards autonomic outflow estimation via generative state-space modelling of heart rate dynamics

Fernando E. Rosas, Diego Candia-Rivera, Andrea I Luppi +2

Recent research is revealing how cognitive processes are supported by a complex interplay between the brain and the rest of the body, which can be investigated by the analysis of p…