Supervised learning of arithmetic invariants

Research output: Chapter in Book/Report/Conference proceedingChapter


We survey some recent implementations of supervised learning methodologies
on large sets of arithmetic data. As part of our methodological review, we perform some simple statistical learning algorithms by hand on simplied problems. We incorporate a self-contained number-theoretic background which places a signicant emphasis on conjectures and examples relevant to the machine-learning context.
Original languageEnglish
Title of host publicationMachine-Learning in Pure Mathematics and Theoretical Physics
PublisherWorld Scientific Publishing
Publication statusAccepted/In press - 11 Jan 2022


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