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.
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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.