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Hamiltonian Graph Networks with ODE Integrators., , , и . CoRR, (2019)Introduction to Normalizing Flows for Lattice Field Theory., , , , , , , и . CoRR, (2021)Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning., , , , , , и . CoRR, (2024)Equivariant flow-based sampling for lattice gauge theory., , , , , , , и . CoRR, (2020)Flow-based sampling for multimodal distributions in lattice field theory., , , , , , , , и . CoRR, (2021)Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model., , , , , , , , и . CoRR, (2018)Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions., , , , , , , , , и 2 other автор(ы). CoRR, (2022)Adversarial Variational Optimization of Non-Differentiable Simulators., , и . BNAIC/BENELEARN, том 2491 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)Asymptotic formulae for likelihood-based tests of new physics, , , и . The European Physical Journal C, 71 (2): 1--19 (24.06.2013)A Guide to Constraining Effective Field Theories with Machine Learning, , , и . Physical Review D, (26.07.2018)