Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation.
Sangeeta SrivastavaSamuel OlinViktor PodolskiyAnuj KarpatneWei-Cheng LeeAnish AroraPublished in: CoRR (2022)
Keyphrases
- deep learning
- hamilton jacobi
- heat equation
- high dimensional
- wave equation
- distance transform
- eikonal equation
- unsupervised feature learning
- unsupervised learning
- finite difference
- medial axis
- machine learning
- level set method
- partial differential equations
- dimensionality reduction
- weakly supervised
- feature space
- object recognition
- multiscale
- computer vision