Hacker News Reader

Since this is based on ML, I would have trouble trusting the results. Can you verify the results with standard mathematical methods? E.g. solve a linear system using AI, then compute the residue and meaningfully interpret it? Would it be possible to apply ML techniques iteratively, and let the error approach zero?

View on HN

Sure, you can always just run the baseline simulation and compare error rates. You can also do fancier analyses to get some rough idea of robustness and maximum error rates (over your particular parameter domain).

Would this integrate with e.g. Measurements.jl?

From an implementation perspective of course, so you can get error propagation on the baseline simulator. For the actual ML part, you'd get Measurements complaining that it doesn't know how to propagate bounds through the surrogate. You can do some estimation of what that propagation would look like, but it's a research project.

The error propagation won't be through measurements, because that blows up linearly. There's other approaches which give much more promising results.

Reply on news.ycombinator.com