Temporal irreversibility, often referred to as the arrow of time, is a
f...
Understanding how different networks relate to each other is key for
obt...
Models that rely solely on pairwise relationships often fail to capture ...
Recent research has provided a wealth of evidence highlighting the pivot...
The Shannon entropy of a random variable X has much behaviour analogous ...
Striking progress has recently been made in understanding human cognitio...
Battiston et al. (arXiv:2110.06023) provide a comprehensive overview of ...
Learning and compression are driven by the common aim of identifying and...
When employing non-linear methods to characterise complex systems, it is...
We introduce a novel framework to identify perception-action loops (PALO...
Active inference is a Bayesian framework for understanding biological
in...
This article introduces a model-agnostic approach to study statistical
s...
The behavioral dynamics of multi-agent systems have a rich and orderly
s...
What does the informational complexity of dynamical networked systems te...
We study a variant of the variational autoencoder model (VAE) with a Gau...