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Found 4 papers, 2 papers with code
σ-GPTs: A New Approach to Autoregressive Models
Autoregressive models, such as the GPT family, use a fixed order, usually left-to-right, to generate sequences.
Inference from Real-World Sparse Measurements
Notably, our model reduces the root mean square error (RMSE) for wind nowcasting from 9. 24 to 7. 98 and for heat diffusion tasks from 0. 126 to 0. 084.
HyperMixer: An MLP-based Low Cost Alternative to Transformers
We find that existing architectures such as MLPMixer, which achieves token mixing through a static MLP applied to each feature independently, are too detached from the inductive biases required for natural language understanding.
Efficient Wind Speed Nowcasting with GPU-Accelerated Nearest Neighbors Algorithm
This paper proposes a simple yet efficient high-altitude wind nowcasting pipeline.
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