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Hamiltonian Graph Networks with ODE Integrators., , , and . CoRR, (2019)Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model., , , , , , , , and . CoRR, (2018)Adversarial Variational Optimization of Non-Differentiable Simulators., , and . BNAIC/BENELEARN, volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Equivariant flow-based sampling for lattice gauge theory., , , , , , , and . CoRR, (2020)Introduction to Normalizing Flows for Lattice Field Theory, , , , , , , and . (2021)cite arxiv:2101.08176Comment: 38 pages, 5 numbered figures, Jupyter notebook included as ancillary file.PhysicsGP: A Genetic Programming Approach to Event Selection, and . (February 2004)Comment: 16 pages 9 figures, 1 table. Submitted to Comput. Phys. Commun.Parameterized Machine Learning for High-Energy Physics., , , , and . CoRR, (2016)Backdrop: Stochastic Backpropagation., and . CoRR, (2018)Machine Learning in High Energy Physics Community White Paper., , , , , , , , , and 108 other author(s). CoRR, (2018)Set2Graph: Learning Graphs From Sets., , , , , , and . CoRR, (2020)