IML Machine Learning Working Group

Tuesday, 16 February 2021 - 15:00
Virtual (zoom only)

        : Sessions
    /     : Talks
        : Breaks
16 Feb 2021
AM
PM
15:00 News - David Rousseau (LAL-Orsay, FR) Simon Akar (University of Cincinnati (US)) Riccardo Torre (CERN) Loukas Gouskos (CERN) Andrea Wulzer (CERN and EPFL) Gian Michele Innocenti (CERN) Dr Pietro Vischia (Universite Catholique de Louvain (UCL) (BE)) Lorenzo Moneta (CERN)   ()
15:05 Disentangling Boosted Higgs Boson Production Modes with Machine Learning - Yi-Lun Chung (National Tsing Hua University (TW))   ()
15:30 --- Question time ---
15:35 Distinguishing Vector-Boson Fusion Signatures with Convolutional Neural Networks: Invisible Higgs Decay - Vishal Singh Ngairangbam (SRF, Theoretical Physics Division, Physical Research Laboratory, Ahmedabad (India))   ()
16:00 --- Question time ---
16:05 General recipe to form input space for deep learning analysis of HEP scattering processes - Lev Dudko (M.V. Lomonosov Moscow State University (RU))   ()
16:30 --- Question time ---
16:35 Model-Independent Detection of New Physics Signals Using Interpretable Semi-Supervised Classifier Tests - Purvasha Chakravarti (Imperial College London)   ()
17:00 --- Question time ---
17:05 Domain Adaptation Techniques in Particle Identification for the ALICE experiment - Michal Kurzynka (Warsaw University of Technology (PL))   ()
17:30 --- Question time ---
17:35 Interpretable Networks for Identifying Leptons - Daniel Whiteson (University of California Irvine (US))   ()
18:00 --- Question time ---