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math.NA2023
A neural network kernel decomposition for learning multiple steady states in parameterized dynamical systems
Yimeng Zhang, Alexander Cloninger, Bo Li +1
We develop a data-driven machine learning approach to identifying parameters with steady-state solutions, locating such solutions, and determining their linear stability for system…
math.OC2023
On a Generalization of Wasserstein Distance and the Beckmann Problem to Connection Graphs
Sawyer Robertson, Dhruv Kohli, Gal Mishne +1
We propose a model of optimal parallel transport between vector fields on a connection graph, which consists of a weighted graph along with a map from its edges to an orthogonal gr…