IML Machine Learning Working Group: Theory applications of ML

Friday 16 June 2017 - 15:00
CERN (222/R-001)

        : Sessions
    /     : Talks
        : Breaks
16 Jun 2017
AM
PM
15:00 News and group updates - Dr Sergei Gleyzer (University of Florida (US)) Michele Floris (CERN) Paul Seyfert (Universita & INFN, Milano-Bicocca (IT)) Steven Randolph Schramm (Universite de Geneve (CH)) Lorenzo Moneta (CERN)  
15:10 Machine learning knowledge base - Matthew Feickert (Southern Methodist University (US))  
15:20 Deep learning for Phase-Space Integration - Josh Bendavid (California Institute of Technology (US))  
15:40 Machine Learning for Phenomenological Models - Bob Stienen  
16:00 Learning parton densities with neural networks: The NNPDF methodology - Zahari Dimitrov Kassabov Zaharieva (Universita e INFN Torino (IT))  
16:20 Machine Learning of Calabi-Yau Volumes - Daniel Krefl (CERN)  
16:40 An EoS-meter of QCD transition from deep learning - Dr Long-Gang Pang (Frankfurt Institute for Advanced Studies, Goethe University)  
17:00 Minutes