Hugging Face Blog
SegMoE: Segmind Mixture of Diffusion Experts
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The Annotated Diffusion Model
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Diffusion models recover accurate mixture weights despite score function insensitivity
arXiv:2607. 15485v1 Announce Type: new Abstract: Score-based generative models exhibit a puzzling behavior: they often appear to cover all modes of a target multimodal distribution and yet may fail to learn the correct relative mode amplitudes, which can be interpreted as mixture weights.
arXiv Machine Learning
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Score Approximation for Diffusion Models on Arbitrary Low-Dimensional Structures
arXiv:2606. 19894v1 Announce Type: new Abstract: The remarkable success of score-based diffusion models has spurred significant efforts to establish their theoretical foundations.
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Introduction to Stochastic Differential Equations for Generative Machine Learning: A Variational Perspective
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arXiv Machine Learning
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MAD: Manifold Attracted Diffusion
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arXiv Machine Learning
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Regularization can make diffusion models more efficient
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