29 January 2024 to 2 February 2024
CERN
Europe/Zurich timezone

Session

Keynotes Physics + ML

30 Jan 2024, 10:00
503/1-001 - Council Chamber (CERN)

503/1-001 - Council Chamber

CERN

162
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  1. Eliska Greplova (TU Delft)
    30/01/2024, 10:00
  2. Francesco Maria Velotti (CERN)
    31/01/2024, 09:00

    Most of limitations to fully exploit the CERN injector complex comes from problems that have a rather known formalism, but usually, due to interplay of many other factors make the analytical or numerical solutions almost impossible. In this context, machine learning is playing a key role allowing us to produce empirical models to estimate the accelerator behaviour to the desired accuracy for...

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  3. Jonas Koehler (Microsoft Research)
    31/01/2024, 09:30
  4. Gregor Kasieczka (Hamburg University (DE))
    01/02/2024, 14:00
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