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Expressiveness Remarks for Denoising Diffusion Models and Samplers
Denoising diffusion models are a class of generative models which have recently achieved state-of-the-art results across many domains.
Rethinking Sharpness-Aware Minimization as Variational Inference
Sharpness-aware minimization (SAM) aims to improve the generalisation of gradient-based learning by seeking out flat minima.
Depth Without the Magic: Inductive Bias of Natural Gradient Descent
In gradient descent, changing how we parametrize the model can lead to drastically different optimization trajectories, giving rise to a surprising range of meaningful inductive biases: identifying sparse classifiers or reconstructing low-rank matrices without explicit regularization.
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