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A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications

, , , , , , , , , , , , , , , , , , , , and . (2021)cite arxiv:2101.04525Comment: Experimental framework publicly available at http://www.github.com/darkmachines/high-dimensional-sampling.
DOI: 10.1007/JHEP05(2021)108

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A comparison of optimisation algorithms for high-dimensional particle and astrophysics applications, , , , , , , , , and 11 other author(s). (2021)cite arxiv:2101.04525Comment: Experimental framework publicly available at http://www.github.com/darkmachines/high-dimensional-sampling.Towards a Benchmark for Scientific Understanding in Humans and Machines., , , and . CoRR, (2023)The BSM-AI project: SUSY-AI - Generalizing LHC limits on Supersymmetry with Machine Learning, , , , and . (May 9, 2016)Constraining the Parameters of High-Dimensional Models with Active Learning., , , and . CoRR, (2019)spot: Open Source framework for scientific data repository and interactive visualization., , , , , and . SoftwareX, (2019)Reduced Simulations for High-Energy Physics, a Middle Ground for Data-Driven Physics Research., , , and . CoRR, (2023)SPOT: Open Source framework for scientific data repository and interactive visualization., , , , , and . CoRR, (2018)Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics., , , , , , , , , and 3 other author(s). CoRR, (2022)Interactive Web-Based Visualization of Multidimensional Physical and Astronomical Data., , , , , and . Frontiers Big Data, (2021)SPOT: Open Source Visual Data Analytics Platform for High-Dimensional Scientific Data., , , , , and . eScience, page 411. IEEE Computer Society, (2018)