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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)Open is not enough, , , , , , , , , and 14 other author(s). Nature Physics, 15 (2): 113-119 (2019)Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators., , , , , , , , , and 1 other author(s). CoRR, (2017)Learning to Pivot with Adversarial Networks., , and . CoRR, (2016)Search for Computational Workflow Synergies in Reproducible Research Data Analyses in Particle Physics and Life Sciences., , , , , , and . eScience, page 403-404. IEEE Computer Society, (2018)PhysicsGP: A Genetic Programming approach to event selection., and . Comput. Phys. Commun., 167 (3): 165-176 (2005)Parameterized Machine Learning for High-Energy Physics., , , , and . CoRR, (2016)Backdrop: Stochastic Backpropagation., and . CoRR, (2018)Mining gold from implicit models to improve likelihood-free inference., , , and . CoRR, (2018)