3 papers
cs.LG2024
Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models
Dule Shu, Amir Barati Farimani
The success of diffusion probabilistic models in generative tasks, such as text-to-image generation, has motivated the exploration of their application to regression problems commo…
cs.LG2024
Inpainting Computational Fluid Dynamics with Deep Learning
Dule Shu, Wilson Zhen, Zijie Li +1
Fluid data completion is a research problem with high potential benefit for both experimental and computational fluid dynamics. An effective fluid data completion method reduces th…
cs.LG2024
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations
Zijie Li, Saurabh Patil, Francis Ogoke +5
Neural networks have shown promising potential in accelerating the numerical simulation of systems governed by partial differential equations (PDEs). Different from many existing n…