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Flow-based sampling in the lattice Schwinger model at criticality.

, , , , , , , , , и . CoRR, (2022)

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Thomas Cranmer

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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)Gauge-equivariant flow models for sampling in lattice field theories with pseudofermions., , , , , , , , , и 2 other автор(ы). CoRR, (2022)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)Adversarial Variational Optimization of Non-Differentiable Simulators., , и . BNAIC/BENELEARN, том 2491 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)The frontier of simulation-based inference, , и . (2020)MadMiner: Machine Learning-Based Inference for Particle Physics., , , и . Comput. Softw. Big Sci., (декабря 2020)