IML Machine Learning Working Group

Monday 23 November 2020 - 15:00
Virtual (everywhere and nowhere)

        : Sessions
    /     : Talks
        : Breaks
23 Nov 2020
AM
PM
15:00 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)  
15:05 Introduction to workshop series on “AI in business” by CERN Knowledge Transfer - Paul Hientz CERN Knowledge Transfer  
15:15 --- Question time ---
15:20 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))  
15:45 --- Question time ---
15:50 Pre-Learning a Geometry Using Machine Learning to Accelerate High Energy Physics Detector Simulations - Evangelos Kourlitis (Argonne National Laboratory (US))  
16:15 --- Question time ---
16:20 High Fidelity Simulation of High Granularity Calorimeters with High Speed - Engin Eren Engin Eren (Deutsches Elektronen-Synchrotron DESY) Sascha Daniel Diefenbacher (Hamburg University (DE))  
16:45 --- Question time ---
16:50 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)  
17:15 --- Question time ---
17:20 Sparse data from graph GANs - Raghav Kansal (Univ. of California San Diego (US))  
17:32 --- Question time ---
17:35 Sparse data from Variational autoencoders - Mary Touranakou (National and Kapodistrian University of Athens (GR)) Breno Orzari (UNESP - Universidade Estadual Paulista (BR))  
17:47 --- Question time ---