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cs.LG2024
Graph Neural Ordinary Differential Equations for Coarse-Grained Socioeconomic Dynamics
James Koch, Pranab Roy Chowdhury, Heng Wan +4
We present a data-driven machine-learning approach for modeling space-time socioeconomic dynamics. Through coarse-graining fine-scale observations, our modeling framework simplifie…
cs.LG2024
Learning Neural Differential Algebraic Equations via Operator Splitting
James Koch, Madelyn Shapiro, Himanshu Sharma +2
Differential algebraic equations (DAEs) describe the temporal evolution of systems that obey both differential and algebraic constraints. Of particular interest are systems that co…