2 citations · 4 across the 5 of their papers we have counts for
5 papers
Causal identification with
Charles Tapley Hoyt, Craig Bakker, Richard J. Callahan +11
We present the Python package, which implements causal identification algorithms that apply interventional, counterfactual, and transportability queries to data from (randomi…
Operator-Theoretic Methods for Differential Games
Craig Bakker, Adam T. Rupe, Alexander Von Moll +1
Differential game theory offers an approach for modeling interactions between two or more agents that occur in continuous time. The goal of each agent is to optimize its objective…
Deep Koopman operator framework for causal discovery in nonlinear dynamical systems
Juan Nathaniel, Carla Roesch, Jatan Buch +4
We use a deep Koopman operator-theoretic formalism to develop a novel causal discovery algorithm, Kausal. Causal discovery aims to identify cause-effect mechanisms for better scien…
Causal Discovery in Nonlinear Dynamical Systems using Koopman Operators
Adam Rupe, Derek DeSantis, Craig Bakker +2
We present a theory of causality in dynamical systems using Koopman operators. Our theory is grounded on a rigorous definition of causal mechanism in dynamical systems given in ter…
How optimal control of polar sea-ice depends on its tipping points
Parvathi Kooloth, Jian Lu, Craig Bakker +2
Several Earth system components are at a high risk of undergoing rapid and irreversible qualitative changes or `tipping', due to increasing climate warming. Potential tipping eleme…