Thermodynamic diffusion inference at production scale is shown using hierarchical bilinear coupling for U-Net skips and a 2,560-parameter digital bottleneck, attaining 0.9906 cosine similarity with theoretical 10^7x energy reduction over GPU.
Sohl-Dickstein, E
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Thermodynamic Diffusion Inference with Minimal Digital Conditioning
Thermodynamic diffusion inference at production scale is shown using hierarchical bilinear coupling for U-Net skips and a 2,560-parameter digital bottleneck, attaining 0.9906 cosine similarity with theoretical 10^7x energy reduction over GPU.