Results 281 to 290 of about 29,508,989 (334)

Spatially Resolved Reaction–Diffusion Modeling Reveals Effects of Intracellular Spatial Heterogeneity on Yeast Galactose Network Dynamics

Wu T, Spindler M, Apsley AT, Earnest E, Thornburg ZR, Mahamid J, Luthey-Schulten Z.   +6 more
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Model for Heterogeneous Diffusion

SIAM Journal on Applied Mathematics, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yong-Jung Kim, Hyowon Seo
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Rouse model in crowded environment modeled by “diffusing diffusivity”

Physica A: Statistical Mechanics and its Applications, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ahamad, Nabi, Debnath, Pallavi
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Diffusion for World Modeling: Visual Details Matter in Atari

Neural Information Processing Systems
World models constitute a promising approach for training reinforcement learning agents in a safe and sample-efficient manner. Recent world models predominantly operate on sequences of discrete latent variables to model environment dynamics.
Eloi Alonso, Adam Jelley, Vincent Micheli, A. Kanervisto, A. Storkey, Tim Pearce, Franccois Fleuret   +6 more
semanticscholar   +1 more source

DiffIR: Efficient Diffusion Model for Image Restoration

IEEE International Conference on Computer Vision, 2023
Diffusion model (DM) has achieved SOTA performance by modeling the image synthesis process into a sequential application of a denoising network. However, different from image synthesis, image restoration (IR) has a strong constraint to generate results ...
Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xing Wu, Yapeng Tian, Wenming Yang, L. Gool   +7 more
semanticscholar   +1 more source

Dream 7B: Diffusion Large Language Models

arXiv.org
We introduce Dream 7B, the most powerful open diffusion large language model to date. Unlike autoregressive (AR) models that generate tokens sequentially, Dream 7B employs discrete diffusion modeling to refine sequences in parallel through iterative ...
Jiacheng Ye, Zhihui Xie, Lin Zheng, Jiahui Gao, Zirui Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong   +7 more
semanticscholar   +1 more source

Modelling diffusion and replacement

European Journal of Operational Research, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Towhidul Islam, Nigel Meade
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BLOCK DIFFUSION: INTERPOLATING BETWEEN AU-TOREGRESSIVE AND DIFFUSION LANGUAGE MODELS

International Conference on Learning Representations
Diffusion language models offer unique benefits over autoregressive models due to their potential for parallelized generation and controllability, yet they lag in likelihood modeling and are limited to fixed-length generation.
Marianne Arriola, Aaron Gokaslan, Justin T. Chiu, Zhi-Han Yang, Zhi-Hong Qi, Jiaqi Han, S. Sahoo, V. Kuleshov   +7 more
semanticscholar   +1 more source

Simple and Effective Masked Diffusion Language Models

Neural Information Processing Systems
While diffusion models excel at generating high-quality images, prior work reports a significant performance gap between diffusion and autoregressive (AR) methods in language modeling.
S. Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T. Chiu, Alexander Rush, V. Kuleshov   +7 more
semanticscholar   +1 more source

Radon diffusion modelling

Science of The Total Environment, 1985
A mathematical model has been developed that examines the ingress of radon into houses, through a vertical crack in an otherwise impervious concrete floor. Initially, the model considered the diffusive flow of radon from its soil source and this simulation has highlighted the dependency of the flux of radon into the house on the magnitude of various ...
P, Wilkinson, P J, Dimbylow
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