Papers citing 'DiffusionPDE: Generative PDE-Solving Under Partial Observation'

Title
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme Rudy Morel Francesco Pio Ramunno Jeff Shen Alberto Bietti Kyunghyun Cho ... François Rozet K. Leka F. Lanusse David Fouhey Shirley Ho DiffM AI4CE 329 0 0 24 Nov 2025
Enforcing governing equation constraints in neural PDE solvers via training-free projections Omer Rochman Gilles Louppe 96 0 0 21 Nov 2025
Operator Flow Matching for Timeseries Forecasting Yolanne Y. R. Lee Kyriakos Flouris AI4TS DiffM 160 0 0 16 Oct 2025
PIRF: Physics-Informed Reward Fine-Tuning for Diffusion Models Mingze Yuan Pengfei Jin Na Li Shijie Zhao AI4CE 108 0 0 24 Sep 2025
Incomplete Data, Complete Dynamics: A Diffusion Approach Zihan Zhou Chenguang Wang Hongyi Ye Yongtao Guan Tianshu Yu DiffM AI4CE 141 0 0 24 Sep 2025
Learning Turbulent Flows with Generative Models: Super-resolution, Forecasting, and Sparse Flow Reconstruction Vivek Oommen Siavash Khodakarami Aniruddha Bora Zhicheng Wang George Karniadakis DiffM AI4CE 107 3 0 10 Sep 2025
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation François Rozet Ruben Ohana Michael McCabe Gilles Louppe F. Lanusse S. Ho DiffM 155 7 0 03 Jul 2025
Resolving Turbulent Magnetohydrodynamics: A Hybrid Operator-Diffusion Framework Semih Kacmaz Eliu A. Huerta Roland Haas DiffM AI4CE 90 1 0 02 Jul 2025
FunDiff: Diffusion Models over Function Spaces for Physics-Informed Generative Modeling Sifan Wang Zehao Dou Tong-Rui Liu Lu Lu Lu Lu DiffM 190 8 0 09 Jun 2025
Snap-and-tune: combining deep learning and test-time optimization for high-fidelity cardiovascular volumetric meshing Daniel H. Pak Shubh Thaker Kyle Baylous Xiaoran Zhang Danny Bluestein James S. Duncan AI4CE 168 8 0 09 Jun 2025
Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints Utkarsh Utkarsh Pengfei Cai Alan Edelman Rafael Gomez-Bombarelli Christopher Rackauckas AI4CE 202 9 0 04 Jun 2025
Autoregressive regularized score-based diffusion models for multi-scenarios fluid flow prediction Wilfried Genuist Éric Savin F. Gatti Didier Clouteau DiffM AI4CE 180 0 0 30 May 2025
Multiphysics Bench: Benchmarking and Investigating Scientific Machine Learning for Multiphysics PDEs Changfan Yang Lichen Bai Yinpeng Wang Shufei Zhang Bo Han OOD AI4CE 147 1 0 23 May 2025
Guided Diffusion Sampling on Function Spaces with Applications to PDEs Jiachen Yao Abbas Mammadov Julius Berner Gavin Kerrigan Jong Chul Ye Kamyar Azizzadenesheli A. Anandkumar DiffM 221 6 0 22 May 2025
PhySense: Sensor Placement Optimization for Accurate Physics Sensing Yuezhou Ma Haixu Wu Hang Zhou Huikun Weng Chao Guo Mingsheng Long DiffM 406 0 0 19 May 2025
Well2Flow: Reconstruction of reservoir states from sparse wells using score-based generative models Shiqin Zeng Haoyun Li A. Gahlot Felix J. Herrmann DiffM 174 0 0 07 Apr 2025
Text2PDE: Latent Diffusion Models for Accessible Physics SimulationInternational Conference on Learning Representations (ICLR), 2024 Anthony Zhou Zijie Li Michael Schneier John R Buchanan Jr Amir Barati Farimani AI4CE DiffM 366 12 0 02 Oct 2024
Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling Vivek Oommen Aniruddha Bora Zhen Zhang George Karniadakis DiffM 364 26 0 13 Sep 2024
Conditional score-based diffusion models for solving inverse problems in mechanicsComputer Methods in Applied Mechanics and Engineering (CMAME), 2024 Agnimitra Dasgupta Harisankar Ramaswamy Javier Murgoitio-Esandi Ken Foo Runze Li Qifa Zhou Brendan Kennedy Assad A. Oberai DiffM MedIm 282 8 0 19 Jun 2024
Invertible Fourier Neural Operators for Tackling Both Forward and Inverse Problems Da Long Zhitong Xu Qiwei Yuan Yin Yang Shandian Zhe AI4CE 365 11 0 18 Feb 2024