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Global atmospheric data assimilation with multi-modal masked
  autoencoders

Global atmospheric data assimilation with multi-modal masked autoencoders

16 July 2024
T. Vandal
Kate Duffy
Daniel J. McDuff
Yoni Nachmany
Chris Hartshorn
    AI4Cl
    AI4CE
ArXivPDFHTML

Papers citing "Global atmospheric data assimilation with multi-modal masked autoencoders"

3 / 3 papers shown
Title
Prithvi WxC: Foundation Model for Weather and Climate
Prithvi WxC: Foundation Model for Weather and Climate
J. Schmude
Sujit Roy
Will Trojak
Johannes Jakubik
Daniel Salles Civitarese
...
Campbell Watson
M. Maskey
Tsengdar J Lee
Juan Bernabé-Moreno
Rahul Ramachandran
VLM
AI4Cl
29
10
0
20 Sep 2024
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial
  Representation Learning
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning
Colorado Reed
Ritwik Gupta
Shufan Li
S. Brockman
Christopher Funk
Brian Clipp
Kurt Keutzer
Salvatore Candido
M. Uyttendaele
Trevor Darrell
113
168
0
30 Dec 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
1