Generative Modeling of Random Fields from Limited Data via Constrained Latent Flow Matching

19 May 2025

Papers citing "Generative Modeling of Random Fields from Limited Data via Constrained Latent Flow Matching"

9 / 9 papers shown

Title
Generative Modeling of Microweather Wind Velocities for Urban Air Mobility Tristan A. Shah Michael C. Stanley James E. Warner 85 1 0 04 Mar 2025
Improving and generalizing flow-based generative models with minibatch optimal transport Alexander Tong Kilian Fatras Nikolay Malkin G. Huguet Yanlei Zhang Jarrid Rector-Brooks Guy Wolf Yoshua Bengio OOD DiffM OT 95 288 0 01 Feb 2023
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 361 15,373 0 20 Dec 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 293 3,648 0 18 Feb 2021
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 505 17,888 0 19 Jun 2020
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Lu Lu Pengzhan Jin George Karniadakis 210 2,108 0 08 Oct 2019
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks Yibo Yang P. Perdikaris AI4CE PINN 108 357 0 09 Nov 2018
Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations Siyu Dai Shawn Schaffert Andreas G. Hofmann 107 364 0 05 Nov 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.7K 76,917 0 18 May 2015