Search Results - "Drescher, Lukas"
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SODA – A tool to predict storm-induced orbit decays for low Earth-orbiting satellites
Published in Journal of space weather and space climate (01-01-2024)“…Due to the rapidly increasing technological progress in the last decades, the issue of space weather and its influences on our everyday life has more and more…”
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Journal Article -
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A HIGH ORDER METHOD FOR THE APPROXIMATION OF INTEGRALS OVER IMPLICITLY DEFINED HYPERSURFACES
Published in SIAM journal on numerical analysis (01-01-2017)“…We introduce a novel method to compute approximations of integrals over implicitly defined hypersurfaces. The new method is based on a weak formulation in…”
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HPC+ in the medical field: Overview and current examples
Published in Technology and health care (2023)“…To say data is revolutionising the medical sector would be a vast understatement. The amount of medical data available today is unprecedented and has the…”
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On simultaneous min-entropy smoothing
Published in 2013 IEEE International Symposium on Information Theory (01-07-2013)“…In the context of network information theory, one often needs a multiparty probability distribution to be typical in several ways simultaneously. When…”
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Conference Proceeding -
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MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems
Published in 2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) (01-11-2021)“…Scientific communities are increasingly adopting machine learning and deep learning models in their applications to accelerate scientific insights. High…”
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Conference Proceeding -
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On simultaneous min-entropy smoothing
Published 30-12-2013“…Proceedings of ISIT 2013, pages 161 - 165 In the context of network information theory, one often needs a multiparty probability distribution to be typical in…”
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Journal Article -
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MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems
Published 21-10-2021“…Scientific communities are increasingly adopting machine learning and deep learning models in their applications to accelerate scientific insights. High…”
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Journal Article