Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Tracking ALICE - Fast Simulation based on Machine Learning Methods for the ALICE CERN

2018/31/N/ST6/02374

Keywords:

Generative Adversarial Networsk Variational Autoencoders Deep Learning ALICE CERN

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. mazowieckie

Other projects carried out by the institution 

Principal investigator (from the host institution):

Kamil Deja 

Number of co-investigators in the project: 2

Call: PRELUDIUM 16 - announced on 2018-09-14

Amount awarded: 131 620 PLN

Project start date (Y-m-d): 2019-07-09

Project end date (Y-m-d): 2023-07-08

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

Project status: Project settled

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.

Equipment purchased [PL]

  1. Laptop.
  2. Karta graficzna (15 000 PLN)

Information in the final report

  • Publication in academic press/journals (2)
  • Articles in post-conference publications (7)
  1. End-to-End Sinkhorn Autoencoder With Noise Generator
    Authors:
    Kamil Deja, Jan Dubiński, Piotr Nowak, Sandro Wenzel, Przemysław Spurek, Tomasz Trzcinski
    Academic press:
    IEEE Access (rok: 2020, tom: 9, strony: 7211 - 7219), Wydawca: Institute of Electrical and Electronics Engineers (IEEE)
    Status:
    Published
    DOI:
    10.1109/ACCESS.2020.3048622 - link to the publication
  2. Using Machine Learning for Particle Identification in ALICE
    Authors:
    Łukasz Graczykowski, Monika Jakubowska, Kamil Deja, Maja Kabus on behalf of the ALICE Collaboration
    Academic press:
    Journal of Instrumentation (rok: 2022, tom: 17, strony: -), Wydawca: IOP Science
    Status:
    Published
    DOI:
    10.1088/1748-0221/17/07/C07016 - link to the publication
  1. BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning
    Authors:
    Kamil Deja; Paweł Wawrzyński; Daniel Marczak; Wojciech Masarczyk; Tomasz Trzciński
    Conference:
    2021 International Joint Conference on Neural Networks (IJCNN) (rok: 2021, ), Wydawca: IEEE
    Data:
    konferencja 18-22.06.2021
    Status:
    Published
  2. On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models
    Authors:
    Kamil Deja, Anna Kuzina, Tomasz Trzciński, Jakub M. Tomczak
    Conference:
    Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022) (rok: 2022, ), Wydawca: Advances in Neural Information Processing Systems
    Data:
    konferencja 28.11 - 9.12
    Status:
    Published
  3. On Robustness of Generative Representations Against Catastrophic Forgetting
    Authors:
    Wojciech Masarczyk, Kamil Deja, Tomasz Trzcinski
    Conference:
    International Conference on Neural Information Processing (rok: 2021, ), Wydawca: Springer
    Data:
    konferencja 8.12-12.12.2021
    Status:
    Published
  4. Selectively increasing the diversity of GAN-generated samples
    Authors:
    Jan Dubiński, Kamil Deja, Sandro Wenzel, Przemysław Rokita, Tomasz Trzciński
    Conference:
    The 29th International Conference on Neural Information Processing (ICONIP 2022) (rok: 2022, ), Wydawca: springer
    Data:
    konferencja 22-26.11.2022
    Status:
    Published
  5. Using Machine Learning techniques for Data Quality Monitoring in CMS and ALICE experiments
    Authors:
    Kamil Deja for the CMS and ALICE Collaborations
    Conference:
    7th Annual Conference on Large Hadron Collider Physics (rok: 2019, ), Wydawca: Proceedings of Science
    Data:
    konferencja 20-25.05
    Status:
    Published
  6. Anomalies detection with autoencoders
    Authors:
    Piotr Nowak for the ALICE Collaboration
    Conference:
    Machine Learning and the Physical Sciences Workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS) (rok: 2019, ), Wydawca: brak
    Data:
    konferencja 14,12
    Status:
    Published
  7. Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning
    Authors:
    Kamil Deja, Paweł Wawrzyński, Wojciech Masarczyk, Daniel Marczak, Tomasz Trzciński
    Conference:
    Thirty-First International Joint Conference on Artificial Intelligence (rok: 2022, ), Wydawca: IJCAI
    Data:
    konferencja 23-29.06.2022
    Status:
    Published

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