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Sakana AI Proposes DiffusionBlocks: a Block-wise Training Framework That Converts Residual Networks into Independently Trainable Denoising Modules

Sakana AI Proposes DiffusionBlocks: a Block-wise Training Framework That Converts Residual Networks into Independently Trainable Denoising Modules

Sakana AI introduces DiffusionBlocks, a training framework that converts residual networks into independently trainable blocks by interpreting layer updates as reverse diffusion denoising steps.

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