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)
• Pietro Vischia (Universite Catholique de Louvain (UCL) (BE))
• Lorenzo Moneta (CERN)

Disentangling Boosted Higgs Boson Production Modes with Machine Learning

• Yi-Lun Chung (National Tsing Hua University (TW))

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

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

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

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

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

• Purvasha Chakravarti (Imperial College London)

Domain Adaptation Techniques in Particle Identification for the ALICE experiment

• Michal Kurzynka (Warsaw University of Technology (PL))

Interpretable Networks for Identifying Leptons

• Daniel Whiteson (University of California Irvine (US))