A Voronoi-driven diffusion-based extension of Nadaraya-Watson regression on manifolds that suppresses high frequencies and approximates total-variation minimization for compressed sensing with identity operator.
Dgm: A deep learning algorithm for solving partial differential equations.Journal of computational physics, 375:1339–1364, 2018
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A Data-Driven Interpolation Method on Smooth Manifolds via Diffusion Processes and Voronoi Tessellations
A Voronoi-driven diffusion-based extension of Nadaraya-Watson regression on manifolds that suppresses high frequencies and approximates total-variation minimization for compressed sensing with identity operator.