arXiv (All)
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The critical slowing down in training diffusion models
artificial-intelligencecomputational-physicsdisordered-systems-and-neural-networksmachine-learningstatistical-mechanics
Computational sampling has been central to the sciences since the mid-20th century. While machine-learning-based approaches have recently enabled major advances, their behavior remains poorly understood, with limited theoretical control over when and why they succeed. Here we provide such insight fo
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