Results 11 to 20 of about 15,549,974 (248)
CoRR, 2023 Diffusion models have shown remarkable performance on many generative tasks. Despite recent success, most diffusion models are restricted in that they only allow linear transformation of the data distribution. In contrast, broader family of transformations can potentially help train generative distributions more efficiently, simplifying the reverse ...
Bartosh, Grigory +2 more
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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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A Study on Generative Models for Visual Recognition of Unknown Scenes Using a Textual Description
Sensors, 2023 In this study, we investigate the application of generative models to assist artificial agents, such as delivery drones or service robots, in visualising unfamiliar destinations solely based on textual descriptions.
Jose Martinez-Carranza +4 more
doaj +1 more source
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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A diffusion model for service products [PDF]
, 2014 Purpose ? This paper aims to develop a diffusion model that can be used to understand and forecast the market growth of service products in a competitive environment.
Shi, Xiaohui +6 more
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Curvature effects on a simplified reaction-diffusion model of biodegradation [PDF]
, 2017 The biodegradation process of some types of polymers occurs due to many different factors including their morphology, structure and chemical composition.
Núnez-López, Mayra +2 more
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Non-gaussian diffusion model for phosphorus in silicon heavy-doped junctions [PDF]
, 2009 Besides common implant techniques, dopant diffusion enables steep diffusion profiles in heavily doped deep-source drain and ultra-shallow junctions as required in advanced microelectronic technology.
Wirbeleit, Frank
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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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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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