Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database

16 June 2020

Papers citing "Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database"

4 / 4 papers shown

Title
Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models A. Rybchuk M. Hassanaly N. Hamilton P. Doubrawa Mitchell J. Fulton L. Martínez‐Tossas AI4CE DiffM 30 16 0 01 Mar 2023
Classifying Turbulent Environments via Machine Learning M. Buzzicotti F. Bonaccorso 26 0 0 03 Jan 2022
Using machine-learning modelling to understand macroscopic dynamics in a system of coupled maps Francesco Borra Marco Baldovin AI4CE 17 2 0 08 Nov 2020
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems Alexander Wikner Jaideep Pathak Brian Hunt M. Girvan T. Arcomano I. Szunyogh Andrew Pomerance Edward Ott AI4CE 64 70 0 10 Feb 2020