IML Machine Learning Working Group Meeting - Bayesian Optimization and Generative/Adversarial Models

Thursday, 15 December 2016 - 15:00
CERN (4/3-006)

        : Sessions
    /     : Talks
        : Breaks
15 Dec 2016
AM
PM
15:00 News and group updates - Michele Floris (CERN) Steven Randolph Schramm (Universite de Geneve (CH)) Paul Seyfert (Universita & INFN, Milano-Bicocca (IT)) Lorenzo Moneta (CERN) Dr Sergei Gleyzer (University of Florida (US))   (4/3-006 - TH Conference Room)
15:15 Generative Models and EM Learning Algorithm - Enrico Guiraud (Università degli Studi e INFN Milano (IT))   (4/3-006 - TH Conference Room)
15:35 Learning to Pivot with Adversarial Networks - Michael Aaron Kagan (SLAC National Accelerator Laboratory (US)) Gilles Louppe (New York University (US)) Kyle Stuart Cranmer (New York University (US))   (4/3-006 - TH Conference Room)
15:55 Simulation tuning using Bayes optimization - J Michael Williams (Massachusetts Inst. of Technology (US))   (4/3-006 - TH Conference Room)
16:15 Applying Bayesian parameter estimation to relativistic heavy-ion collisions (postponed) - Jonah Bernhard   (4/3-006 - TH Conference Room)
16:35 Experimenting with Generative Adversarial Networks for Fast Simulation (postponed) - Sebastian Neubert (Ruprecht-Karls-Universitaet Heidelberg (DE))   (4/3-006 - TH Conference Room)