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Flow-based sampling for multimodal distributions in lattice field theory., , , , , , , , and . CoRR, (2021)Equivariant flow-based sampling for lattice gauge theory., , , , , , , and . CoRR, (2020)Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model., , , , , , , , and . CoRR, (2018)Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions., , , , , , , , , and 2 other author(s). CoRR, (2022)Hamiltonian Graph Networks with ODE Integrators., , , and . CoRR, (2019)Introduction to Normalizing Flows for Lattice Field Theory., , , , , , , and . CoRR, (2021)Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning., , , , , , and . CoRR, (2024)Adversarial Variational Optimization of Non-Differentiable Simulators., , and . BNAIC/BENELEARN, volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Asymptotic formulae for likelihood-based tests of new physics, , , and . The European Physical Journal C, 71 (2): 1--19 (Jun 24, 2013)A Guide to Constraining Effective Field Theories with Machine Learning, , , and . Physical Review D, (Jul 26, 2018)