3 papers
cs.LG2025
Assimilative Causal Inference
Marios Andreou, Nan Chen, Erik Bollt
Causal inference is fundamental across scientific disciplines, yet existing methods struggle to capture instantaneous, time-evolving causal relationships in complex, high-dimension…
nlin.CD2025
Empirical Discovery of Multi-Scale Transfer of Information in Dynamical Systems
Christopher W. Curtis, Erik M. Bollt
In this work, we quantify the time scales and information flow associated with multiscale energy transfer in a weakly turbulent system. This is done through a greedy optimization a…
math.DS2024
A Causation-Based Computationally Efficient Strategy for Deploying Lagrangian Drifters to Improve Real-Time State Estimation
Erik Bollt, Nan Chen, Stephen Wiggins
Deploying Lagrangian drifters that facilitate the state estimation of the underlying flow field within a future time interval is practically important. However, the uncertainty in…