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Taylor Childers is a Computer Scientist at Argonne National Laboratory applying deep learning methods to scientific problems. He is interested in investigating how DL can replace historically developed analytical methods to speed up experimental science. Having begun as an experimental particle physicist at CERN, Taylor has been working with experimental data from the ATLAS experiment which measures the outcome of proton-proton collisions in the Large Hadron Collider.
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论文共 32 篇作者统计合作学者相似作者
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A. M. Sirunyan,A. Tumasyan,W. Adam, F. Ambrogi, T. Bergauer,J. Brandstetter,M. Dragicevic,J. Ero,A. Escalante Del Valle,M. Flechl, R. Fruehwirth,M. Jeitler,
J. M. Campbell,M. Diefenthaler,T. J. Hobbs,S. Höche,J. Isaacson, F. Kling, S. Mrenna,J. Reuter,S. Alioli, J. R. Andersen,C. Andreopoulos,A. M. Ankowski,
arxiv(2022)
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Andrea Valassi,Taylor Childers,Laurence Field, Stefan Hageböck, Walter Hopkins,Olivier Mattelaer, Nathan Nichols, Stefan Roiser,David Smith
arxiv(2022)
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