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Bi-CFM achieves over two orders of magnitude speedup while improving accuracy in solving inverse problems of chaotic systems, even under conservation constraints.
By intelligently fusing Wiener Chaos Expansion with Neural Operators, this new method cracks the notoriously difficult problem of simulating singular stochastic PDEs without relying on computationally expensive renormalization techniques.
