velcher t1_j2jxium wrote
> Stripping away the neural network and running the underlying algorithm could be useful, since classical algorithms tend to run much faster and with less memory.
I would disagree with this. A lot of research is focused on distilling classical algorithms (e.g. search) into neural networks because a forward pass on a GPU is much faster than running the algorithm itself.
Phoneaccount25732 t1_j2l2hcq wrote
What is there in this genre other than learned indices and surrogate modeling for physics problems?
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