ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.00836
  4. Cited By
Ensemble flow reconstruction in the atmospheric boundary layer from
  spatially limited measurements through latent diffusion models

Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models

1 March 2023
A. Rybchuk
M. Hassanaly
N. Hamilton
P. Doubrawa
Mitchell J. Fulton
L. Martínez‐Tossas
    AI4CE
    DiffM
ArXivPDFHTML

Papers citing "Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models"

9 / 9 papers shown
Title
Ensemble-based, large-eddy reconstruction of wind turbine inflow in a
  near-stationary atmospheric boundary layer through generative artificial
  intelligence
Ensemble-based, large-eddy reconstruction of wind turbine inflow in a near-stationary atmospheric boundary layer through generative artificial intelligence
A. Rybchuk
Luis A. Martínez-Tossas
Stefano Letizia
N. Hamilton
Andy Scholbrock
Emina Maric
Daniel R. Houck
Thomas G. Herges
Nathaniel B. de Velder
P. Doubrawa
AI4CE
26
0
0
17 Oct 2024
Spectrum-Informed Multistage Neural Networks: Multiscale Function
  Approximators of Machine Precision
Spectrum-Informed Multistage Neural Networks: Multiscale Function Approximators of Machine Precision
Jakin Ng
Yongjian Wang
Ching-Yao Lai
38
1
0
24 Jul 2024
PINN surrogate of Li-ion battery models for parameter inference. Part
  II: Regularization and application of the pseudo-2D model
PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model
M. Hassanaly
Peter J. Weddle
Ryan N. King
Subhayan De
Alireza Doostan
Corey R. Randall
Eric J. Dufek
Andrew M. Colclasure
Kandler Smith
25
6
0
28 Dec 2023
Brain Imaging Generation with Latent Diffusion Models
Brain Imaging Generation with Latent Diffusion Models
W. H. Pinaya
Petru-Daniel Tudosiu
J. Dafflon
P. F. D. Costa
Virginia Fernandez
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
DiffM
MedIm
87
284
0
15 Sep 2022
Denoising Diffusion Restoration Models
Denoising Diffusion Restoration Models
Bahjat Kawar
Michael Elad
Stefano Ermon
Jiaming Song
DiffM
204
774
0
27 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
F. I. F. Richard Yu
Radu Timofte
Luc Van Gool
DiffM
213
1,353
0
24 Jan 2022
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
325
1,584
0
10 Nov 2021
Global field reconstruction from sparse sensors with Voronoi
  tessellation-assisted deep learning
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning
Kai Fukami
R. Maulik
Nesar Ramachandra
K. Fukagata
Kunihiko Taira
32
140
0
03 Jan 2021
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,387
0
21 Nov 2016
1