Diffusion Models Beyond Mean Prediction

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• Mingtian Zhang, University College London
• Wednesday 12 February 2025, 11:00-12:30
• Cambridge University Engineering Department, CBL Seminar room BE4-38..

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Traditional diffusion models are typically trained to predict only the mean of the denoised distribution given a noisy sample. But what if we go beyond the mean? This talk explores how incorporating additional information—such as predicting the covariance of the denoised distribution—can significantly accelerate sampling and improve density estimation. We’ll dive into different techniques for covariance prediction, their theoretical connection, and practical benefits for more efficient and expressive generative modeling.

This talk is part of the Machine Learning Reading Group @ CUED series.

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