Preprint
Jul 2026
Tensor Train Diffusion: Leveraging Low-Rank Structures for High-Dimensional Score-Based Sampling
This work introduces a novel and efficient solver for the underlying HJB equation based on the functional tensor train (FTT) format, which leverages latent low-rank structures to efficiently approximate high-dimensional functions, enabling both model compression and rapid computation.
Robert Gruhlke, Julius Berner, David Sommer et al.
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