Generating physically-consistent high-resolution climate data with hard-constrained neural networks
- Paula Harder
- Qidong Yang
- et al.
- 2022
- NeurIPS 2022
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22 results for Daniela Szwarcman
Physics-Constrained Deep Learning for Climate Downscaling
- Paula Harder
- Qidong Yang
- et al.
- 2022
- NeurIPS 2022
Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network
- 2021
- ICML 2021
Improving extreme weather generation and spatial variability of weather generators based on resampling using the Direct Sampling algorithm
- Jorge Luis Guevara Diaz
- Maria Julia De Castro Villafranca Garcia
- et al.
- 2022
- AGU Fall 2022
Generating physically-consistent high-resolution climate data with hard-constrained neural networks
- Paula Harder
- Qidong Yang
- et al.
- 2022
- AGU Fall 2022
Quantizing Reconstruction Losses for Improving Weather Data Synthesis
- 2024
- Nature Scientific Reports
A 3D spatial self-attention module on a non-uniform vertical coordinate for super-resolution wind fields
- Takuya Kurihana
- Kyongmin Yeo
- et al.
- 2023
- AGU Fall 2023
Geospatial Foundation Model by Diversified Data
- 2024
- MIRU 2024
Physics-Constrained Deep Learning for Downscaling
- Paula Harder
- Venkatesh Ramesh
- et al.
- 2023
- EGU 2023
Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation
- Michal Muszynski
- Levente Klein
- et al.
- 2024
- KDD 2024