Picture for Ryan Lagerquist

Ryan Lagerquist

Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery

Add code
Sep 24, 2024
Viaarxiv icon

Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications

Add code
Aug 04, 2024
Viaarxiv icon

Can we integrate spatial verification methods into neural-network loss functions for atmospheric science?

Add code
Mar 21, 2022
Figure 1 for Can we integrate spatial verification methods into neural-network loss functions for atmospheric science?
Figure 2 for Can we integrate spatial verification methods into neural-network loss functions for atmospheric science?
Figure 3 for Can we integrate spatial verification methods into neural-network loss functions for atmospheric science?
Figure 4 for Can we integrate spatial verification methods into neural-network loss functions for atmospheric science?
Viaarxiv icon

CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1

Add code
Jun 17, 2021
Figure 1 for CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1
Figure 2 for CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1
Figure 3 for CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1
Figure 4 for CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1
Viaarxiv icon