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Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence., , , , и . CoRR, (2022)Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model., , , , , , , , , и 5 other автор(ы). NeurIPS, стр. 5460-5473. (2019)Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior., , , , , , и . CoRR, (2023)Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model., , , , , , , , и . CoRR, (2018)Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC., , , , , и . CoRR, (2017)The Petascale DTN Project: High Performance Data Transfer for HPC Facilities., , , , , , , , , и 6 other автор(ы). CoRR, (2021)Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators., , , , , , , , , и 1 other автор(ы). CoRR, (2017)Interactive Distributed Deep Learning with Jupyter Notebooks., , , , , , , , , и . ISC Workshops, том 11203 из Lecture Notes in Computer Science, стр. 678-687. Springer, (2018)High-level GPU code: a case study examining JAX and OpenMP., , , , , и . SC Workshops, стр. 1105-1113. ACM, (2023)Machine Learning in High Energy Physics Community White Paper., , , , , , , , , и 108 other автор(ы). CoRR, (2018)