IML Machine Learning Working Group

Monday, November 23, 2020 - 3:00 PM
Virtual (everywhere and nowhere)

        : Sessions
    /     : Talks
        : Breaks
Nov 23, 2020
AM
PM
3:00 PM News - Simon Akar (University of Cincinnati (US)) David Rousseau (LAL-Orsay, FR) Lorenzo Moneta (CERN) Dr Pietro Vischia (Universite Catholique de Louvain (UCL) (BE)) Gian Michele Innocenti (CERN) Andrea Wulzer (CERN and EPFL) Loukas Gouskos (CERN) Riccardo Torre (CERN)   ()
3:05 PM Introduction to workshop series on “AI in business” by CERN Knowledge Transfer - Paul Hientz CERN Knowledge Transfer   ()
3:15 PM --- Question time ---
3:20 PM FastCaloGAN: a tool for fast simulation of the ATLAS calorimeter system with Generative Adversarial Networks - Michele Faucci Giannelli (INFN e Universita Roma Tor Vergata (IT))   ()
3:45 PM --- Question time ---
3:50 PM Pre-Learning a Geometry Using Machine Learning to Accelerate High Energy Physics Detector Simulations - Evangelos Kourlitis (Argonne National Laboratory (US))   ()
4:15 PM --- Question time ---
4:20 PM High Fidelity Simulation of High Granularity Calorimeters with High Speed - Engin Eren Engin Eren (Deutsches Elektronen-Synchrotron DESY) Sascha Daniel Diefenbacher (Hamburg University (DE))   ()
4:45 PM --- Question time ---
4:50 PM Estimating Support Size of Distribution Learnt by Generative Adversarial Networks for Particle Detector Simulation - Kristina Jarůšková Kristina Jaruskova (Czech Technical University in Prague) Dr Sofia Vallecorsa (CERN)   ()
5:15 PM --- Question time ---
5:20 PM Sparse data from graph GANs - Raghav Kansal (Univ. of California San Diego (US))   ()
5:32 PM --- Question time ---
5:35 PM Sparse data from Variational autoencoders - Mary Touranakou (National and Kapodistrian University of Athens (GR)) Breno Orzari (UNESP - Universidade Estadual Paulista (BR))   ()
5:47 PM --- Question time ---