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Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows, , , and . (2021)cite arxiv:2110.02673Comment: 8 pages, 5 figures. Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021).Elliptic Genera and 3d Gravity, , , , and . (Mar 16, 2015)Dying Dyons Don't Count, and . Journal of High Energy Physics, 2007 (09): 070 (Oct 31, 2008)K3 Surfaces, N=4 Dyons, and the Mathieu Group M24. (Jun 3, 2010)A Farey Tail for Attractor Black Holes, , , , and . (Apr 22, 2008)Learning Lattice Quantum Field Theories with Equivariant Continuous Flows., , , , and . CoRR, (2022)Umbral Moonshine, , and . (2012)cite arxiv:1204.2779Comment: 124 pages, 75 tables; updated references and minor editing in v.2; minor editing and two new theorems in v.3.Covariance in Physics and Convolutional Neural Networks, , , , , and . (2019)cite arxiv:1906.02481.