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We use machine learning to classify examples of braids (or flat braids) astrivial or non-trivial. Our ML takes form of supervised learning using neuralnetworks (multilayer perceptrons). When they achieve good results inclassification, we are able to interpret their structure as mathematicalconjectures and then prove these conjectures as theorems. As a result, we findnew convenient invariants of braids, including a complete invariant of flatbraids.

Machine learning discovers invariants of braids and flat braids