2 papers
cs.LG2022
Learning Interaction Variables and Kernels from Observations of Agent-Based Systems
Jinchao Feng, Mauro Maggioni, Patrick Martin +1
Dynamical systems across many disciplines are modeled as interacting particles or agents, with interaction rules that depend on a very small number of variables (e.g. pairwise dist…
stat.ML2021
Model Uncertainty and Correctability for Directed Graphical Models
Panagiota Birmpa, Jinchao Feng, Markos A. Katsoulakis +1
Probabilistic graphical models are a fundamental tool in probabilistic modeling, machine learning and artificial intelligence. They allow us to integrate in a natural way expert kn…