BCAT, a block causal transformer for next-frame prediction, achieves state-of-the-art accuracy on 2D fluid dynamics PDE benchmarks, beating larger foundation models with fewer parameters.
Language models are few-shot learners.Advances in neural information processing systems, 33:1877– 1901, 2020
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BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics
BCAT, a block causal transformer for next-frame prediction, achieves state-of-the-art accuracy on 2D fluid dynamics PDE benchmarks, beating larger foundation models with fewer parameters.