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Technical Meeting Spoke 3

9–11 Oct 2023
Università degli studi di Trieste
Europe/Rome timezone

Session

Session 3

10 Oct 2023, 11:00
Aula 1A - Conference (Università degli studi di Trieste)

Aula 1A - Conference

Università degli studi di Trieste

Edificio D Dipartimento di Scienze Economiche, Aziendali, Matematiche e Statistiche Piazzale Europa 1 - 34127 TRIESTE

Conveners

Session 3: WP3

  • Milena Valentini (University of Trieste)

Session 3: WP3

  • Pasquale Lubrano (INFN)

Presentation materials

There are no materials yet.

  1. 21. WP3 Status
    Fabio Roberto Vitello
    10/10/2023, 11:30
  2. 23. Machine Learning/Deep Learning algorithms for Gaia mission data analysis
    Dr Lorenzo Monti (Istituto Nazionale di Astrofisica (INAF))
    10/10/2023, 11:45
  3. 24. ML for Cluster Cosmology analysis
    Matteo Costanzi Alunno Cerbolini (Istituto Nazionale di Astrofisica (INAF))
    10/10/2023, 12:00
  4. 22. Object detection, self-supervision and XAI using real and synthetic astronomical data
    Dr Thomas Cecconello (INAF)
    10/10/2023, 12:15
  5. 25. Symmetric solutions for the N-body problem: a computational approach
    Dr Irene De Blasi (UniTorino)
    10/10/2023, 12:30
  6. 26. Improving photo-z estimation under covariate shift with StratLearn
    Prof. Roberto Trotta (SISSA)
    10/10/2023, 12:45
  7. 31. Allucinating molecular cloud emission with Neural nets
    Giuseppe Puglisi (UniCT)
    10/10/2023, 14:00
  8. 52. Deep learning of 87A-like supernovae progenitor characteristics: training the Inception model on synthetic data
    Giuseppe Puglisi (UniCT)
    10/10/2023, 14:15
  9. 28. Graph neural network for track reconstruction in space experiments
    Dr Federica Cuna (INFN)
    10/10/2023, 14:30
  10. 29. Map-level Emulation of CMB experimental systematics
    Dr Paolo Campeti (INFN)
    10/10/2023, 14:45
  11. 30. Generative adversarial neural network for cosmic rays background simulations
    Giovanni Cavallotto (INFN)
    10/10/2023, 15:00
  12. 32. "Chemical tagging of field RR Lyrae to constrain the early formation and evolution of the Milky Way"
    Dr Karina Baeza Villagra (UniTOV)
    10/10/2023, 15:15
  13. 33. Optimal compression and Simulation-Based Inference of the cosmic 21-cm signal
    Mr David Prelogovic (SNS)
    10/10/2023, 15:30
  14. 34. The Euclid survey: Improving cosmological constraints via BAO reconstruction
    Dr Elena Sarpa (SISSA)
    10/10/2023, 15:45
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