Welcome

• Jacek Tomasz Otwinowski (Polish Academy of Sciences (PL))

Room: 160/1-009

Overview of machine learning techniques

• Kamil Rafal Deja (Warsaw University of Technology (PL))

Room: 160/1-009

Application of online deep learning techniques to pulsed-signal data

• Craig Bower (University of Derby)

Room: 160/1-009

CMS

• Mantas Stankevicius (Fermi National Accelerator Lab. (US))

Room: 160/1-009

ATLAS

• Peter Onyisi (University of Texas at Austin (US))
• James Catmore (University of Oslo (NO))

Room: 160/1-009

Discussion Room: 160/1-009

Online and offline QC in ALICE

• Barthelemy Von Haller (CERN)

Room: 160/1-009

Offline QC data sets for ML in ALICE

• Jens Wiechula (Johann-Wolfgang-Goethe Univ. (DE))

Room: 160/1-009

Overwatch/HLT online QC data sets in ALICE

• Raymond Ehlers (Yale University (US))

Room: 160/1-009

Discussion Room: 160/1-009

Applying ML techniques to the TPC QC data / Comparing ML with analitical models

• Marian Ivanov (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE))

Room: 160/1-009

Classification of TPC QC data with ML

• Kamil Rafal Deja (Warsaw University of Technology (PL))

Room: 160/1-009

PID in ALICE with ML: Data vs MC

• Lukasz Kamil Graczykowski (Warsaw University of Technology (PL))

Room: 160/1-009

EMCAL QC and ML plans

• Markus Fasel (Oak Ridge National Laboratory - (US))

Room: 160/1-009

Discussion Room: 160/1-009

ML framework and QC tools in ALICE

• Martin Kroesen (Ruprecht Karls Universitaet Heidelberg (DE))
• Marian Ivanov (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE))

Room: 160/1-009

ML framework for data analysis in ALICE

• Gian Michele Innocenti (CERN)

Room: 160/1-009

Discussion and Summary Room: 160/1-009