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.CV2025
Efficient Score Pre-computation for Diffusion Models via Cross-Matrix Krylov Projection
Kaikwan Lau, Andrew S. Na, Justin W. L. Wan
This paper presents a novel framework to accelerate score-based diffusion models. It first converts the standard stable diffusion model into the Fokker-Planck formulation which res…