Estimating the Shannon entropy of a discrete distribution from which we ...
Scientists collaborate through intricate networks, which impact the qual...
Given a finite and noisy dataset generated with a closed-form mathematic...
Network inference is the process of learning the properties of complex
n...
Many studies have shown that there are regularities in the way human bei...
Closed-form, interpretable mathematical models have been instrumental fo...
With the overwhelming online products available in recent years, there i...
Many real-world complex systems are well represented as multilayer netwo...
A principled approach to understand network structures is to formulate
g...
Successful attempts to predict judges' votes shed light into how legal
d...
With ever-increasing available data, predicting individuals' preferences...