DIMOND: DIffusion Model OptimizatioN with Deep Learning
Sign Up to like & getrecommendations! Published in 2024 at "Advanced Science"
DOI: 10.1002/advs.202307965
Abstract: Diffusion magnetic resonance imaging is an important tool for mapping tissue microstructure and structural connectivity non‐invasively in the in vivo human brain. Numerous diffusion signal models are proposed to quantify microstructural properties. Nonetheless, accurate estimation… read more here.
Keywords: deep learning; diffusion model; model; dimond ... See more keywords
CPL‐Diff: A Diffusion Model for De Novo Design of Functional Peptide Sequences with Fixed Length
Sign Up to like & getrecommendations! Published in 2025 at "Advanced Science"
DOI: 10.1002/advs.202412926
Abstract: Peptides are recognized as next‐generation therapeutic drugs due to their unique properties and are essential for treating human diseases. In recent years, a number of deep generation models for generating peptides have been proposed and… read more here.
Keywords: diffusion model; diff; length generated; cpl diff ... See more keywords
Diffusion Model‐Based MRI Super‐Resolution Synthesis
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.70021
Abstract: In modern medical imaging, although there have been advances in the application of super‐resolution technology to MRI in recent years, current applications still cannot meet practical needs. For example, for MRI images under specific pathological… read more here.
Keywords: diffusion model; resolution; super resolution; model based ... See more keywords
The diffusion model visualizer: an interactive tool to understand the diffusion model parameters
Sign Up to like & getrecommendations! Published in 2018 at "Psychological Research"
DOI: 10.1007/s00426-018-1112-6
Abstract: Response time (RT) data play an important role in psychology. The diffusion model (DM) allows to analyze RT-data in a two-alternative-force-choice paradigm using a particle drift diffusion modeling approach. It accounts for right-skewed distributions in… read more here.
Keywords: model; diffusion model; model visualizer; tool ... See more keywords
The effect of episodic retrieval on inhibition in task switching: a diffusion model analysis
Sign Up to like & getrecommendations! Published in 2019 at "Psychological Research"
DOI: 10.1007/s00426-019-01206-1
Abstract: Inhibition in task switching is inferred from $$n-2$$n-2 task repetition costs: slower response times and poorer accuracy for ABA task switching sequences compared to CBA sequences, thought to reflect the persisting inhibition of task A… read more here.
Keywords: task; task switching; inhibition; inhibition task ... See more keywords
Dynamical behavior of an innovation diffusion model with intra-specific competition between competing adopters
Sign Up to like & getrecommendations! Published in 2021 at "Acta Mathematica Scientia"
DOI: 10.1007/s10473-022-0120-1
Abstract: In this paper, we proposed an innovation diffusion model with three compartments to investigate the diffusion of an innovation (product) in a particular region. The model exhibits two equilibria, namely, the adopter-free and an interior… read more here.
Keywords: innovation diffusion; diffusion; innovation; adopter free ... See more keywords
Efficient Simulation of Value-at-Risk Under a Jump Diffusion Model: A New Method for Moderate Deviation Events
Sign Up to like & getrecommendations! Published in 2018 at "Computational Economics"
DOI: 10.1007/s10614-017-9654-z
Abstract: Importance sampling is a powerful variance reduction technique for rare event simulation, and can be applied to evaluate a portfolio’s Value-at-Risk (VaR). By adding a jump term in the geometric Brownian motion, the jump diffusion… read more here.
Keywords: value risk; jump diffusion; jump; simulation ... See more keywords
Deep Errors-in-Variables using a diffusion model
Sign Up to like & getrecommendations! Published in 2025 at "Machine Learning"
DOI: 10.1007/s10994-025-06744-x
Abstract: Errors-in-Variables is the statistical concept used to explicitly model input variable errors caused, for example, by noise. While it has long been known in statistics that not accounting for such errors can produce a substantial… read more here.
Keywords: deep errors; prediction performance; diffusion model; errors variables ... See more keywords
Information Diffusion Model Based on Social Big Data
Sign Up to like & getrecommendations! Published in 2018 at "Mobile Networks and Applications"
DOI: 10.1007/s11036-018-1004-4
Abstract: Users can access Weibo, a widely used social network platform, through mobile clients or PCs at any time for social interaction. This paper describes an information diffusion model based on the Weibo platform, which is… read more here.
Keywords: diffusion model; model based; information; information diffusion ... See more keywords
Diffusion Model-Based Generation of Three-Dimensional Multiphase Pore-Scale Images
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DOI: 10.1007/s11242-025-02158-4
Abstract: We propose a diffusion model-based machine learning method for generating three-dimensional images of both the pore space of rocks and the fluid phases within it. This approach overcomes the limitations of current methods, which are… read more here.
Keywords: scale images; model based; multiphase; pore scale ... See more keywords
TaxDiff: taxonomic-guided diffusion model for protein sequence generation
Sign Up to like & getrecommendations! Published in 2024 at "Science China Information Sciences"
DOI: 10.1007/s11432-024-4296-6
Abstract: Designing protein sequences with specific biological functions and structural stability is crucial in biology and chemistry. Generative models already demonstrated their capabilities for reliable protein design. However, previous models are limited to the unconditional generation… read more here.
Keywords: generation; taxonomic guided; protein; diffusion model ... See more keywords