paper
2023
Explainability, uncertainty & physics
Evaluation or intercomparison of existing models
Transformer / ViT Preprint
2023-01-01
004
Jan 2023
David Hidary
CERN Document Server (European Organization for Nuclear Research)
Applies self-attention map analysis to the AtmoRep weather foundation model to interpret how meteorological variables drive its predictions; a short talk without quantitative results.
Explainability, uncertainty & physics
CERN openlab Summer Student Lightning Talks (1/2)
In one sentence. Applies self-attention map analysis to the AtmoRep weather foundation model to interpret how meteorological variables drive its predictions; a short talk without quantitative results.
Labels
- Topic
- Explainability, uncertainty & physics
- Type
- Evaluation or intercomparison of existing models
- Method
- Transformer / ViT
- Domain
- Global
- Data
- ERA5 / reanalysis
- Status
- Research
- Identifiers
- OpenAlex:W7137707613
- Added
- 2026-10-22
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