Results 21 to 30 of about 399,973 (265)
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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Physical Review E, 2008 We study here the random diffusion model. This is a continuum model for a conserved scalar density field $ϕ$ driven by diffusive dynamics. The interesting feature of the dynamics is that the {\it bare} diffusion coefficient $D$ is density dependent. In the simplest case $D=\bar{D}+D_{1}δϕ$ where $\bar{D}$ is the constant average diffusion constant.
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Autoregressive Diffusion Models
CoRR, 2021 We introduce Autoregressive Diffusion Models (ARDMs), a model class encompassing and generalizing order-agnostic autoregressive models (Uria et al., 2014) and absorbing discrete diffusion (Austin et al., 2021), which we show are special cases of ARDMs under mild assumptions. ARDMs are simple to implement and easy to train. Unlike standard ARMs, they do
Emiel Hoogeboom +5 more
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Evaluation of the Impact of b-Value Ranges on Six Body Diffusion Models in Prostate Application
Chinese Journal of Magnetic ResonanceThis paper investigated the impact of different b-value acquisition ranges (from 0 to 2 500 s/mm2) on the quantitative parameter calculation of six body diffusion models, including mono-exponential (Mono), diffusion kurtosis imaging (DKI), intravoxel ...
ZHOU Minxiong +11 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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Dynamical regimes of diffusion models
Nature CommunicationsWe study generative diffusion models in the regime where both the data dimension and the sample size are large, and the score function is trained optimally.
Giulio Biroli +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi +10 more
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Visualizing Ambiguity: Analyzing Linguistic Ambiguity Resolution in Text-to-Image Models
ComputersText-to-image models have demonstrated remarkable progress in generating visual content from textual descriptions. However, the presence of linguistic ambiguity in the text prompts poses a potential challenge to these models, possibly leading to ...
Wala Elsharif +3 more
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