Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution

13 February 2024

Papers citing "Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution"

4 / 4 papers shown

Title
Towards Distribution-Shift Uncertainty Estimation for Inverse Problems with Generative Priors Namhoon Kim Sara Fridovich-Keil OOD UQCV 77 0 0 13 Oct 2025
A reduced-order derivative-informed neural operator for subsurface fluid-flow Jeongjin Park Grant Bruer Huseyin Tuna Erdinc A. Gahlot Felix J. Herrmann AI4CE 40 0 0 17 Sep 2025
HJ-sampler: A Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton-Jacobi PDEs and score-based generative models Tingwei Meng Zongren Zou Jérome Darbon George Karniadakis DiffM 179 3 0 15 Sep 2024
Active Learning for Neural PDE SolversInternational Conference on Learning Representations (ICLR), 2024 Daniel Musekamp Marimuthu Kalimuthu David Holzmüller Makoto Takamoto Carlos Fernandez AI4CE 289 12 0 02 Aug 2024