Score-based diffusion models
PulseAugur coverage of Score-based diffusion models — every cluster mentioning Score-based diffusion models across labs, papers, and developer communities, ranked by signal.
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New diffusion model inversion method enforces physics constraints
Researchers have developed a new method called terminal-conditioned inversion for score-based diffusion models, which enhances their ability to enforce physics or measurement consistency in inverse problems. This approa…
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New paper details non-asymptotic error bounds for biased SMC samplers · 3 sources tracked
A new paper introduces a non-asymptotic error analysis for Sequential Monte Carlo (SMC) methods when using biased mutation kernels, which are common in post-hoc conditioning of generative models. The research decomposes…
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Sakana AI's DiffusionBlocks cuts training memory by training network blocks independently
Sakana AI has introduced DiffusionBlocks, a novel framework for training neural networks more efficiently. This method partitions a network into multiple blocks, allowing each block to be trained independently. By reduc…