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CA17137 G2Net WG1 meeting

11–13 Apr 2022
Faculty of Mathematics of the University of Valencia
Europe/Madrid timezone

Contribution List

19 out of 19 displayed
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  1. 7. Simulating transient noise burst in LIGO with Generative Adversarial Networks
    Melissa Lopez
    11/04/2022, 12:20
  2. 9. 1D CNN Denoising AutoEncoder for BBH waveforms
    Michal Bejger (INFN Ferrara & CAMK PAN)
    11/04/2022, 12:40
  3. 8. Complex systems in the G2net research
    Velimir Ilic
    11/04/2022, 14:30
  4. 10. Validation of Speech Processing Techniques for Real-Time Detection of Gravitational Waves
    Daniele Dell'Aquila
    11/04/2022, 14:50
  5. 11. Detection of GW Signals Using Quadratic Time-Frequency Distributions and Deep CNNs
    Nicola Lopac
    11/04/2022, 15:20
  6. 5. Searches for Mass-Asymmetric Compact Binary Coalescence Events using Convolutional Neural Networks
    ‪Marc Andrés-Carcasona‬
    12/04/2022, 09:30
  7. 4. Searching for the phase transition in the dense matter equation of state using anomaly detection technique
    Filip Morawski
    12/04/2022, 10:00
  8. 6. Application of Gaussian Mixture Modelling to the Short All-sky Burst Gravitational Wave Search
    Leigh Smith
    12/04/2022, 10:30
  9. 21. Searching for long-duration transient gravitational waves from glitching pulsars using Convolutional Neural Networks
    Luana Modafferi
    12/04/2022, 11:30
  10. 13. Submission to the MLGWSC-1
    Ondřej Zelenka
    12/04/2022, 12:00
  11. 14. CNN for early alert: Going down in frequency
    Grégory Baltus
    12/04/2022, 12:30
  12. 15. Vitamin: Rapid Bayesian parameter estimation of CBC signals using conditional variational autoencoders
    Bayley Joe
    12/04/2022, 14:30
  13. 16. Core-collapse supernova detection and classification in real noise with CNN and LSTM
    Alberto Iess
    12/04/2022, 14:50
  14. 23. Open challenges in the application of DL to distributed mobile sensing
    Fabio Bonsignorio
    12/04/2022, 15:10
  15. 20. Neural networks for gravitational wave trigger selection in single detector periods
    Agata Trovato
    13/04/2022, 09:30
  16. 19. Modelling compact binary waveforms using machine learning methods
    Maite Mateu-Lucena
    13/04/2022, 10:00
  17. 12. What could ML do for finding gravitationally lensed GWs?
    David Keitel
    13/04/2022, 10:30
  18. 17. Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate Modeling
    Stella Fragkouli
    13/04/2022, 11:30
  19. 24. Intra-domain and cross-domain transfer learning for time series data—How transferable are the features?
    Ivan Štajduhar
    13/04/2022, 11:50

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