gaussian process
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Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models
In this paper, we specifically investigate the deep equilibrium model (DEQ), an infinite-depth neural network with shared weight matrices across layers.
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Supplementary to: Geometric Neural Diffusion Processes A Organisation of appendices
B.5 Langevin dynamics Under mild assumptions on r log p
Geometric Neural Diffusion Processes Emile Mathieu University Of Cambridge Vincent Dutordoir
Traditional denoising diffusion models are defined on finite-dimension Euclidean spaces (Song and Ermon, 2019; Song et al., 2021; Ho et al., 2020; Dhariwal and Nichol, 2021).
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