A frozen weather foundation model's latent space can be decoded by a small MLP to predict unseen hydrological variables, with accuracy and efficiency strongly favoring this lightweight approach over full fine-tuning.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes
A frozen weather foundation model's latent space can be decoded by a small MLP to predict unseen hydrological variables, with accuracy and efficiency strongly favoring this lightweight approach over full fine-tuning.