Debias Coarsely, Sample Conditionally: Statistical Downscaling through
Optimal Transport and Probabilistic Diffusion Models

Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models

24 May 2023

Ricardo Baptista

Yi-fan Chen

John R. Anderson

Anudhyan Boral

Leonardo Zepeda-Núnez

Papers citing "Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models"

6 / 6 papers shown

Title
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling Subhankar Ghosh Arun Sharma Jayant Gupta Aneesh Subramanian Shashi Shekhar DiffM 62 5 0 28 Jan 2025
Unpaired Downscaling of Fluid Flows with Diffusion Bridges Tobias Bischoff Katherine Deck 21 14 0 02 May 2023
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein Marco Cuturi Laetitia Meng-Papaxanthos Yingtao Tian Charlotte Bunne Geoff Davis O. Teboul OT 143 94 0 28 Jan 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 204 774 0 27 Jan 2022
Entropic estimation of optimal transport maps Aram-Alexandre Pooladian Jonathan Niles-Weed OT 74 105 0 24 Sep 2021
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 112 100 0 28 Sep 2019