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News/Variance Reduction for Expectations with Diffusion Teachers
arxiv
PublishedMay 25, 2026 at 4:00 AM

Variance Reduction for Expectations with Diffusion Teachers

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arXiv:2605.21489v2 Announce Type: replace-cross Abstract: Pretrained diffusion models serve as frozen teachers feeding downstream pipelines such as text-to-3D, single-step distillation, and data attribution. The teacher gradients these pipelines consume are Monte Carlo (MC) expectations over noise l

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