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Generative models development for fast simulation in ALICE CERN

2020/39/O/ST6/01478

Keywords:

neural networks simulation high energy physics

Descriptors:

  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST6_12: Scientific computing, simulation and modelling tools
  • ST2_2: Particle physics

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Politechnika Warszawska, Wydział Elektroniki i Technik Informacyjnych

woj.

Other projects carried out by the institution 

Principal investigator (from the host institution):

prof. Przemysław Stefan Rokita 

Number of co-investigators in the project: 2

Call: PRELUDIUM BIS 2 - announced on 2020-09-15

Amount awarded: 441 700 PLN

Project start date (Y-m-d): 2021-10-01

Project end date (Y-m-d): 2025-09-30

Project duration:: 48 months (the same as in the proposal)

Project status: Pending project

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Articles in post-conference publications (5)
  1. Selectively increasing the diversity of GAN-generated samples
    Authors:
    Jan Dubiński, Kamil Deja, Sandro Wenzel, Przemysław Rokita, Tomasz Trzciński
    Conference:
    Neural Information Processing (rok: 2023, tom: ICONIP: International Conference on Neural Information Processing 2022, strony: - przyjęta do publikacji), Wydawca: Springer
    Data:
    konferencja 22/11/2022 - 26/11/2022
    Status:
    Accepted for publication
    DOI:
    10.48550/ARXIV.2207.01561 - link to the publication
  2. Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders
    Authors:
    Jan Dubiński, Stanisław Pawlak, Franziska Boenisch, Tomasz Trzcinski, Adam Dziedzic
    Conference:
    Advances in Neural Information Processing Systems 36 (NeurIPS 2023) Main Conference Track (rok: 2024, tom: Conference on Neural Information Processing Systems, strony: 55237-55259), Wydawca: Curran Associates, Inc.
    Data:
    konferencja 10.12.2023-16.12.2023
    Status:
    Published
    DOI:
    10.08571 - link to the publication
  3. Selectively increasing the diversity of GAN-generated samples
    Authors:
    Jan Dubiński, Kamil Deja, Sandro Wenzel, Przemysław Rokita, Tomasz Trzciński
    Conference:
    Neural Information Processing (rok: 2023, tom: ICONIP: International Conference on Neural Information Processing 2022, strony: - przyjęta do publikacji), Wydawca: Springer
    Data:
    konferencja 22/11/2022 - 26/11/2022
    Status:
    Accepted for publication
    DOI:
    10.48550/ARXIV.2207.01561 - link to the publication
  4. Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN
    Authors:
    Jan Dubiński, Kamil Deja, Sandro Wenzel, Przemysław Rokita, Tomasz Trzciński
    Conference:
    AIP Conference Proceedings (rok: 2023, tom: The International Workshop on Machine Learning and Quantum Computing Applications in Medicine and Physics, strony: - przyjęta do publikacji), Wydawca: AIP Publishing
    Data:
    konferencja 13/09/2022 - 16/09/2022
    Status:
    Accepted for publication
    DOI:
    -2306,13606 - link to the publication
  5. Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN
    Authors:
    Jan Dubiński, Kamil Deja, Sandro Wenzel, Przemysław Rokita, Tomasz Trzciński
    Conference:
    AIP Conference Proceedings (rok: 2023, tom: The International Workshop on Machine Learning and Quantum Computing Applications in Medicine and Physics, strony: - przyjęta do publikacji), Wydawca: AIP Publishing
    Data:
    konferencja 13/09/2022 - 16/09/2022
    Status:
    Accepted for publication
    DOI:
    -2306,13606 - link to the publication

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