Hybrid Machine Learning For Physics
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Anandkumar: Neural operators mix physical scales internally to boost data efficiency
“Neural operators have this flexibility because they can allow you to mix across different scales within the model rather than be prescribed externally like a lot of other Hybrid machine learning for physics do, and that, you know, allows us to be a lot more da…”