There are a bunch of papers on neural nets that I have been fascinated by, which I hope to eventually read. Here are a few of them:
- [2402.13321] Rigor with Machine Learning from Field Theory to the Poincaré Conjecture,
- Related to the above paper, [2310.19870] Metric Flows with Neural Networks,
- [1801.03918] Black Holes as Brains: Neural Networks with Area Law Entropy,
- A paper I found on diffusion models and neural nets (not exactly something I am familiar with yet) recommended by p-adic: [2211.14680] A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction.
And some more that I have to find. I am also typing up on Part Three in Bulk Physics, Algebras and All That, which should be out in a while.
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