OK, let’s try to have an ML-related conversation. Any tried to train a model to solve math equations or systems of them?
How much overhead ? Any reason to use it? Original solver is not differentiable, but new one is?
E.g “Learning to Solve Hard Minimal Problems “ is faster, but less successful that Niester https://arxiv.org/abs/2112.03424, also requiring special formulation. Obviously one can use huge models like GPT3, but that’s impractical.
As a toy scale exp, it would be interesting to learn cubic eq solver with NN and SGD. Bonus question: it is easier to network to learn if we spesent the cubic equatiom coeffs, or the several (x,y) pairs?
@brohrer @francoisfleuret do you have anything similar in your DL courses?