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Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for
  Skillful Precipitation Nowcasting

Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting

Neural Information Processing Systems (NeurIPS), 2024
30 October 2024
Chiu-Wai Yan
Shi Quan Foo
Van Hoan Trinh
Dit-Yan Yeung
Ka-Hing Wong
W. Wong
ArXiv (abs)PDFHTMLGithub (13★)

Papers citing "Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting"

2 / 2 papers shown
Title
Assessing the Geographic Generalization and Physical Consistency of Generative Models for Climate Downscaling
Assessing the Geographic Generalization and Physical Consistency of Generative Models for Climate Downscaling
Carlo Saccardi
Maximilian Pierzyna
Haitz Sáez de Ocáriz Borde
Simone Monaco
Cristian Meo
Pietro Lio
R. Saathof
Geethu Joseph
Justin Dauwels
AI4CE
120
0
0
15 Oct 2025
RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours
RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours
Rafael Pablos-Sarabia
Joachim Nyborg
Morten Birk
Jeppe Liborius Sjørup
Anders Lillevang Vesterholt
Ira Assent
BDLAI4Cl
292
1
0
15 May 2025
1