3 papers
cs.SI2025
How fragile is your network? More than you think
Jeremie Fish, Mahesh Banavar, Erik Bollt
Graphs are pervasive in our everyday lives, with relevance to biology, the internet, and infrastructure, as well as numerous other applications. It is thus necessary to have an und…
cs.LG2025
Tree-based Learning for High-Fidelity Prediction of Chaos
Adam Giammarese, Kamal Rana, Erik M. Bollt +1
Model-free forecasting of the temporal evolution of chaotic systems is crucial but challenging. Existing solutions require hyperparameter tuning, significantly hindering their wide…
math.DS2025
The problem of infinite information flow
Zheng Bian, Erik M. Bollt
We study conditional mutual information (cMI) between a pair of variables given a third one and derived quantities including transfer entropy (TE) and causation entropy (…