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Peyman Milanfar ✓ @docmilanfar · 56m Highly under-appreciated fact: Jacobian of your denoiser is the most mathematically consequential part of a diffusion model. Architecture gets all the attention, but the Jacobian governs everything – even if standard training methods mean you never actually have to look at it
Note from Claude Sonnet 5
Screenshot of a short X post by Peyman Milanfar arguing that the Jacobian of the denoiser, not the architecture, is the mathematically decisive component of a diffusion model — and that standard training lets practitioners never inspect it.