fujiitora
fujiitora t1_j2h0j15 wrote
Reply to [D] Is there any research into using neural networks to discover classical algorithms? by currentscurrents
Far from an expert, but this almost seems like a more powerful symbolic regression in disguise. A main limitation of SR is that you need to have some educated guess/prior of what the potential function components look like for the search space. If this converter/extractor works it would be pretty damn powerful right?
fujiitora t1_j1whk8e wrote
Reply to [P] Can you distinguish AI-generated content from real art or literature? I made a little test! by Dicitur
Oi, it alternated between AI and human artist for the first 12 prompts, unlucky...
fujiitora t1_j1t6rjh wrote
Reply to [D] ANN for sine wave prediction by T4KKKK
That sounds like a dumb assignment, what is the exact problem and what does the data look like? Are you given a bunch of noisy points from some unknown sine curve and have to learn the defining parameters i.e. period/amp/shifts? Do you have to predict new points following that same curve at some new x value(s)? You can't predict outside of the training range, it will predict as an extension of the activation function. Whatever problem this actually is, its literally just a simple curve fitting one, using a NN is pointless
fujiitora t1_ixf9mm2 wrote
Reply to comment by LurkAroundLurkAround in [R] Human-level play in the game of Diplomacy by combining language models with strategic reasoning — Meta AI by hughbzhang
9.x% percentile? i assume you meant 90+ percentile?
fujiitora t1_j2j6zr4 wrote
Reply to comment by digmux in [D] Is there any research into using neural networks to discover classical algorithms? by currentscurrents
I first learned about it with PySR https://github.com/MilesCranmer/PySR, they have an arxiv paper with some use cases as well.