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Bayesian Conditional Diffusion Models for Versatile Spatiotemporal
  Turbulence Generation

Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation

Computer Methods in Applied Mechanics and Engineering (CMAME), 2023
14 November 2023
Han Gao
Xu Han
Xiantao Fan
Luning Sun
Liping Liu
Lian Duan
Jian-Xun Wang
    DiffMAI4CE
ArXiv (abs)PDFHTML

Papers citing "Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation"

16 / 16 papers shown
Control-Augmented Autoregressive Diffusion for Data Assimilation
Control-Augmented Autoregressive Diffusion for Data Assimilation
Prakhar Srivastava
Farrin Marouf Sofian
Francesco Immorlano
Kushagra Pandey
Stephan Mandt
196
0
0
08 Oct 2025
FoilDiff: A Hybrid Transformer Backbone for Diffusion-based Modelling of 2D Airfoil Flow Fields
FoilDiff: A Hybrid Transformer Backbone for Diffusion-based Modelling of 2D Airfoil Flow Fields
Kenechukwu Ogbuagu
S. Maleki
G. Bruni
S. Krishnababu
DiffMAI4CE
529
0
0
05 Oct 2025
CD-TVD: Contrastive Diffusion for 3D Super-Resolution with Scarce High-Resolution Time-Varying Data
CD-TVD: Contrastive Diffusion for 3D Super-Resolution with Scarce High-Resolution Time-Varying Data
Chongke Bi
Xin Gao
Jiangkang Deng
Guan
Jun Han
DiffM
167
1
0
11 Aug 2025
FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative Modeling
FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative Modeling
Sifan Wang
Zehao Dou
Tong-Rui Liu
Lu Lu
Lu Lu
DiffM
283
11
0
09 Jun 2025
Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
Tobias Würth
Niklas Freymuth
Gerhard Neumann
Luise Kärger
DiffMAI4CE
407
2
0
06 Jun 2025
Rectified Flows for Fast Multiscale Fluid Flow Modeling
Rectified Flows for Fast Multiscale Fluid Flow Modeling
Victor Armegioiu
Yannick Ramic
Siddhartha Mishra
DiffMAI4CE
228
2
0
03 Jun 2025
Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems
Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems
Luning Sun
Xin-Yang Liu
Siyan Zhao
Aditya Grover
Jian-Xun Wang
Jayaraman J. Thiagarajan
AI4CE
306
1
0
08 Apr 2025
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
Learning Distributions of Complex Fluid Simulations with Diffusion Graph NetworksInternational Conference on Learning Representations (ICLR), 2025
Mario Lino
Tobias Pfaff
Nils Thuerey
DiffMAI4CE
355
20
0
19 Mar 2025
Revealing higher-order neural representations of uncertainty with the Noise Estimation through Reinforcement-based Diffusion (NERD) model
Revealing higher-order neural representations of uncertainty with the Noise Estimation through Reinforcement-based Diffusion (NERD) model
Hojjat Azimi Asrari
Megan A. K. Peters
DiffM
486
0
0
18 Mar 2025
Comparison of Generative Learning Methods for Turbulence Surrogates
Comparison of Generative Learning Methods for Turbulence Surrogates
Claudia Drygala
Edmund Ross
F. Mare
Hanno Gottschalk
Francesca di Mare
Hanno Gottschalk
AI4CE
356
5
0
25 Nov 2024
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural OperatorJournal of Computational Physics (JCP), 2024
Xinghao Dong
Chuanqi Chen
Jin-Long Wu
DiffMAI4CE
380
11
0
06 Aug 2024
Generative Learning of the Solution of Parametric Partial Differential
  Equations Using Guided Diffusion Models and Virtual Observations
Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual ObservationsComputer Methods in Applied Mechanics and Engineering (CMAME), 2024
Han Gao
Sebastian Kaltenbach
Petros Koumoutsakos
DiffMAI4CE
337
20
0
31 Jul 2024
Learning Physics for Unveiling Hidden Earthquake Ground Motions via
  Conditional Generative Modeling
Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling
Pu Ren
R. Nakata
Maxime Lacour
Ilan Naiman
Nori Nakata
...
Osman Asif Malik
Dmitriy Morozov
Omri Azencot
N. Benjamin Erichson
Michael W. Mahoney
AI4CE
282
13
0
21 Jul 2024
Generative Learning for Forecasting the Dynamics of Complex Systems
Generative Learning for Forecasting the Dynamics of Complex Systems
Han Gao
Sebastian Kaltenbach
Petros Koumoutsakos
AI4TSAI4CE
351
10
0
27 Feb 2024
Discovering Symmetry Breaking in Physical Systems with Relaxed Group
  Convolution
Discovering Symmetry Breaking in Physical Systems with Relaxed Group ConvolutionInternational Conference on Machine Learning (ICML), 2023
Rui Wang
E. Hofgard
Han Gao
Robin Walters
Tess E. Smidt
AI4CE
752
19
0
03 Oct 2023
A Survey on Uncertainty Quantification Methods for Deep Learning
A Survey on Uncertainty Quantification Methods for Deep Learning
Wenchong He
Zhe Jiang
Tingsong Xiao
Zelin Xu
Yukun Li
BDLUQCVAI4CE
711
57
0
26 Feb 2023
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