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"

17 / 17 papers shown

Title
Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems Luning Sun Xin-Yang Liu Siyan Zhao Aditya Grover Jian-Xun Wang Jayaraman J. Thiagarajan AI4CE 26 0 0 08 Apr 2025
Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos Chris Pedersen L. Zanna Joan Bruna 45 1 0 24 Mar 2025
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling Subhankar Ghosh Arun Sharma Jayant Gupta Aneesh Subramanian Shashi Shekhar DiffM 68 5 0 28 Jan 2025
Dynamical-generative downscaling of climate model ensembles Ignacio Lopez-Gomez Zhong Yi Wan Leonardo Zepeda-Núnez Tapio Schneider John R. Anderson Fei Sha AI4Cl 27 1 0 02 Oct 2024
Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations Han Gao Sebastian Kaltenbach Petros Koumoutsakos DiffM AI4CE 34 4 0 31 Jul 2024
Towards diffusion models for large-scale sea-ice modelling Tobias S. Finn Charlotte Durand A. Farchi Marc Bocquet J. Brajard 39 2 0 26 Jun 2024
Probabilistic Emulation of a Global Climate Model with Spherical DYffusion Salva Rühling Cachay Brian Henn Oliver Watt-Meyer Christopher S. Bretherton Rose Yu SyDa AI4Cl 34 7 0 21 Jun 2024
Generative Diffusion-based Downscaling for Climate Robbie A. Watt Laura A. Mansfield DiffM 35 3 0 27 Apr 2024
Conditional diffusion models for downscaling & bias correction of Earth system model precipitation Michael Aich P. Hess Baoxiang Pan S. Bathiany Yu Huang Niklas Boers AI4Cl DiffM 31 6 0 05 Apr 2024
Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning P. Hess Michael Aich Baoxiang Pan Niklas Boers AI4Cl 30 0 0 05 Mar 2024
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Yair Schiff Zhong Yi Wan Jeffrey B. Parker Stephan Hoyer Volodymyr Kuleshov Fei Sha Leonardo Zepeda-Núnez 36 12 0 06 Feb 2024
Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation Han Gao Xu Han Xiantao Fan Luning Sun Liping Liu Lian Duan Jian-Xun Wang DiffM AI4CE 30 20 0 14 Nov 2023
Unpaired Downscaling of Fluid Flows with Diffusion Bridges Tobias Bischoff Katherine Deck 26 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 96 0 28 Jan 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 212 783 0 27 Jan 2022
Entropic estimation of optimal transport maps Aram-Alexandre Pooladian Jonathan Niles-Weed OT 82 105 0 24 Sep 2021
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 128 100 0 28 Sep 2019