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ML4Jets2023

6–10 Nov 2023
DESY
Europe/Zurich timezone

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Session

Community & Datasets

8 Nov 2023, 11:00
Main Auditorium (DESY)

Main Auditorium

DESY

Conveners

Community & Datasets

  • Matt LeBlanc (University of Manchester (GB))

Presentation materials

Zoom link
  1. 37. The HEP-ML Living Review
    Dr Claudius Krause (Rutgers University), Johnny Raine (Universite de Geneve (CH)), Ramon Winterhalder (UC Louvain)
    08/11/2023, 11:00

    We introduce the revamped HEPML Living Review: a more accessible website dedicated to the interplay of High-Energy Physics and Machine Learning. Featuring a new 'Recent' section and more anticipated features, we actively seek and encourage ongoing community input, envisioning this platform as a dynamic and continuously evolving exchange.

    Go to contribution page
  2. 39. Open Data Detector: public dataset(s) for ML studies
    Anna Zaborowska (CERN)
    08/11/2023, 11:15

    The development of techniques based on machine learning (ML) relies on the availability of datasets. Many studies are carried out within the context of particular experiments, using e.g. their simulation data. This narrows down the possibilities for collaboration as well as publication, with only limited datasets published for open access.

    This gap can be bridged with the datasets produced...

    Go to contribution page
  3. 111. Machine learning with open data and experiment-independent software tools for AI Safety
    Annika Stein

    A software suite to prepare (CMS) Open Data for machine learning purposes is introduced. In this presentation, different approaches and their suitability to extract low-level information will be compared. The full chain is implemented with the help of high-performance computing infrastructures, and a study of available data formats and data tiers is conducted. As a proof-of-concept, the work...

    Go to contribution page
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