Stefano Carrazza
Stefano Carrazza
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Machine learning challenges in theoretical HEP
Stefano Carrazza
January 2017
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Project
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Conference paper
Publication
18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2017) Seattle, WA, USA, August 21-25, 2017
Stefano Carrazza
Associate Professor
Related
PDFFlow: hardware accelerating parton density access
Determining the proton content with a quantum computer
Introduction to quantum simulation with hardware acceleration
Towards an unbiased determination of parton distributions with QED corrections
Towards the determination of the photon parton distribution function constrained by LHC data
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