Results 21 to 30 of about 8,073,665 (296)
CoRR, 2023 Diffusion models (DMs) have been adopted across diverse fields with its remarkable abilities in capturing intricate data distributions. In this paper, we propose a Fast Diffusion Model (FDM) to significantly speed up DMs from a stochastic optimization perspective for both faster training and sampling.
Zike Wu +3 more
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Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023 Generative models such as Generative Adversarial Networks (GANs) and Variational Auto-Encoders (VAEs) are widely utilized to model the generative process of user interactions. However, these generative models suffer from intrinsic limitations such as the instability of GANs and the restricted representation ability of VAEs.
Wenjie Wang 0007 +5 more
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Modelling Diffusion in Silicides
Le Journal de Physique Colloques, 1988 This paper outlines models for the redistribution of dopant during the incorporation of silicides in VLSI processes.
Moynagh, P., Brown, A., Rosser, P.
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Investigating effects from restricted diffusion in multi-component diffusion data [PDF]
, 2014 We have investigated model systems in which effects from non-Gaussian restricted diffusion could be separated from effects caused by multiple diffusion coefficients. We applied various models to analyze the experimental data.
Pavlin, Tina, Seland, John Georg
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Transactions of the International Society for Music Information Retrieval, 2020 Pitch-class distributions are of central relevance in music information retrieval, computational musicology and various other fields, such as music perception and cognition. However, despite their structure being closely related to the cognitively and musically relevant properties of a piece, many existing approaches treat pitch-class distributions as ...
Robert Lieck +2 more
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CoRR, 2023 Score-based diffusion models learn to reverse a stochastic differential equation that maps data to noise. However, for complex tasks, numerical error can compound and result in highly unnatural samples. Previous work mitigates this drift with thresholding, which projects to the natural data domain (such as pixel space for images) after each diffusion ...
Aaron Lou, Stefano Ermon
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Diffusion in Cauchy Elastic Solid [PDF]
, 2022 It is commonly accepted that a starting point of the science of diffusion is the phenomenological diffusion equation postulated by German physiologist Adolf Fick inspired by experiments on diffusion by Thomas Graham and Robert Brown.
Danielewski, Marek, Sapa, Lucjan
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Effective diffusion tensor computed by homogenization [PDF]
, 2013 The convergence of the long-time apparent diffusion tensor of diffusion magnetic resonance imaging (dMRI) to the effective diffusion tensor obtained by mathematical homogenization theory was considered for two-compartment geometric models containing non ...
Grebenkov, Denis +4 more
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