IML Machine Learning Working Group

Tuesday 16 Feb 2021, 15:00 → 18:05 Europe/Zurich

Virtual (zoom only)

Meeting will be by video only on Zoom.

1 News

Speakers: Andrea Wulzer (CERN and EPFL), David Rousseau (LAL-Orsay, FR), Gian Michele Innocenti (CERN), Lorenzo Moneta (CERN), Loukas Gouskos (CERN), Dr Pietro Vischia (Universite Catholique de Louvain (UCL) (BE)), Riccardo Torre (CERN), Simon Akar (University of Cincinnati (US))

IML_20200216_0.mov

IML_meeting_20210216_news.pdf

2 Disentangling Boosted Higgs Boson Production Modes with Machine Learning

Speaker: Yi-Lun Chung (National Tsing Hua University (TW))

Disentangling Boosted Higgs Boson Production Modes with Machine Learning-IML Working Group-20210216.pdf

IML_20200216_1.mov

15:30 Question time

3 Distinguishing Vector-Boson Fusion Signatures with Convolutional Neural Networks: Invisible Higgs Decay

Speaker: Vishal Singh Ngairangbam (SRF, Theoretical Physics Division, Physical Research Laboratory, Ahmedabad (India))

IML_20200216_2.mov

VBF_Higgs_CNN.pdf

16:00 Question time

4 General recipe to form input space for deep learning analysis of HEP scattering processes

Speaker: Lev Dudko (M.V. Lomonosov Moscow State University (RU))

iml_16.02.21_dudko.pdf

IML_20200216_3.mov

16:30 Question time

5 Model-Independent Detection of New Physics Signals Using Interpretable Semi-Supervised Classifier Tests

Speaker: Purvasha Chakravarti (Imperial College London)

IML_20200216_4.mov

Model-Independent_Detection_IML.pdf

17:00 Question time

6 Domain Adaptation Techniques in Particle Identification for the ALICE experiment

Speaker: Michal Kurzynka (Warsaw University of Technology (PL))

IML_20200216_5.mov

IML_PID_Domain_Adaptation.pdf

17:30 Question time

7 Interpretable Networks for Identifying Leptons

Speaker: Daniel Whiteson (University of California Irvine (US))

Github link

IML_20200216_6.mov

ML_leptons_feb2021.pdf

18:00 Question time