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Found 3 papers, 3 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
Neural solvers for partial differential equations (PDEs) have great potential to generate fast and accurate physics solutions, yet their practicality is currently limited by their generalizability.
FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification
This introduces a new paradigm where models can be pretrained on unlabeled data from different bearings, faults, and machinery and quickly deployed to new, data-scarce applications to suit specific manufacturing needs.
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