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Found 3 papers, 1 papers with code
CaFA: Global Weather Forecasting with Factorized Attention on Sphere
Accurate weather forecasting is crucial in various sectors, impacting decision-making processes and societal events.
Masked Autoencoders are PDE Learners
We hope that masked pretraining can emerge as a unifying method across large, unlabeled, and heterogeneous datasets to learn latent physics at scale.
FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification
In this work, we present pretraining and fine-tuning frameworks for identifying bearing faults based on transformer models.
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