Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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19 results for Daniela Szwarcman

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
- - Daniela Szwarcman
  - Jorge Luis Guevara Diaz
  - et al.
- 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
Global Area Sampling for Geospatial Foundation Model
- - Daiki Kimura
  - Naomi Simumba
  - et al.
- 2024
- AGU 2024
Geospatial Foundation Model by Diversified Data
- - Daiki Kimura
  - Naomi Simumba
  - et al.
- 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
Generating physically-consistent high-resolution climate data with hard-constrained neural networks
- - Paula Harder
  - Qidong Yang
  - et al.
- 2022
- AAAI-FS 2022
Hard-Constrained Deep Learning for Climate Downscaling
- - Paula Harder
  - Alex Hernandez-garcia
  - et al.
- 2023
- JMLR