On_Mt_Vesuvius t1_j2g597u wrote on January 1, 2023 at 12:57 AM

Here's a prominent example. Matrix-matrix multiplication can be done through algorithms with complexity less than O(n^3 ). Here's a paper by DeepMind that uses ML to learn faster algorithms for specific size matrix multiplications, although I don't think it's a neural network behind the scenes.

currentscurrents OP t1_j2g5x92 wrote on January 1, 2023 at 1:02 AM

Thanks for the link, that's good to know about!

But maybe I should have titled this differently. I'm interested in taking a network that solves a problem networks are good at, and converting it into a code representation as a way to speed it up. Like translating between between the two different forms of computation.