2 papers
cs.LG2026
A level-wise training scheme for learning neural multigrid smoothers with application to integral equations
Lingfeng Li, Yin King Chu, Raymond Chan +1
Convolution-type integral equations commonly occur in signal processing and image processing. Discretizing these equations yields large and ill-conditioned linear systems. While th…
cs.CV2023
TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations
Zhenda Shen, Yanqi Cheng, Raymond H. Chan +3
Implicit neural representations (INRs) have garnered significant interest recently for their ability to model complex, high-dimensional data without explicit parameterisation. In t…