498 citations · 1.6k across the 46 of their papers we have counts for
6 papers · 1 filter
Improved estimators of causal emergence for large systems
Madalina I. Sas, Fernando E. Rosas, Hardik Rajpal +3
A central challenge in the study of complex systems is the quantification of emergence -- understood as the ability of the system to exhibit collective behaviours that cannot be tr…
A scalable estimator of higher-order information in complex dynamical systems
Alberto Liardi, George Blackburne, Hardik Rajpal +2
Our understanding of complex systems rests on our ability to characterise how they perform distributed computation and integrate information. Advances in information theory have in…
Synergistic Motifs in Gaussian Systems
Enrico Caprioglio, Pedro A. M. Mediano, Luc Berthouze
High-order interdependencies are central features of complex systems, yet a mechanistic explanation for their emergence remains elusive. Currently, it is unknown under what conditi…
Simple physical systems as a reference for multivariate information dynamics
Alberto Liardi, Madalina I. Sas, George Blackburne +3
Understanding a complex system entails capturing the non-trivial collective phenomena that arise from interactions between its different parts. Information theory is a flexible and…
The topology of synergy: linking topological and information-theoretic approaches to higher-order interactions in complex systems
Thomas F. Varley, Pedro A. M. Mediano, Alice Patania +1
The study of irreducible higher-order interactions has become a core topic of study in complex systems. Two of the most well-developed frameworks, topological data analysis and mul…
Grokking at the Edge of Numerical Stability
Lucas Prieto, Melih Barsbey, Pedro A. M. Mediano +1
Grokking, the sudden generalization that occurs after prolonged overfitting, is a surprising phenomenon challenging our understanding of deep learning. Although significant progres…