Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. 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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9 results for Daniela Szwarcman

Controllable Generation for Climate Modeling
- - Moulik Choraria
  - Daniela Szwarcman
  - et al.
- 2022
- NeurIPS 2022
On Metric Analysis for Deep Weather Generators
- 2023
- AAAI 2023
Direct Sampling for extreme weather generation
- - Jorge Luis Guevara Diaz
  - Bianca Zadrozny
  - et al.
- 2022
- NeurIPS 2022
Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network
- - Daniel Salles Civitarese
  - Daniela Szwarcman
  - et al.
- 2021
- ICML 2021
Physics-Constrained Deep Learning for Downscaling
- - Paula Harder
  - Venkatesh Ramesh
  - et al.
- 2023
- EGU 2023
Towards Accelerated Discovery Services for Geospatio-temporal Foundation Models
- - Michiaki Tatsubori
  - Takao Moriyama
  - 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
- AAAI-FS 2022
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
Quantum-inspired evolutionary algorithm applied to neural architecture search
- - Daniela Szwarcman
  - Daniel Salles Civitarese
  - et al.
- 2022
- Applied Soft Computing Journal