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CLARIPHY Topical Meeting (6 Jan 2021) - Interfacing theoretical parameter spaces and predictions
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Video from CLARIPHY Topical Meeting - 6 Jan 2021
Slides/agenda:
Time markers for the talks:
00:00-30:10 Bayesian Neural Networks for Fast Predictions from High Dimensional Theories (Braden Kronheim, Davidson College)
30:10-1:00:32 Machine learning techniques to map from experimental cross sections to QCD theory parameters (Eleni Tsitinidi, Davidson College)
Slides/agenda:
Time markers for the talks:
00:00-30:10 Bayesian Neural Networks for Fast Predictions from High Dimensional Theories (Braden Kronheim, Davidson College)
30:10-1:00:32 Machine learning techniques to map from experimental cross sections to QCD theory parameters (Eleni Tsitinidi, Davidson College)
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