CA17137 G2Net WG1 meeting

Faculty of Mathematics of the University of Valencia

Faculty of Mathematics of the University of Valencia


Work Group 1 (WG1) aims at investigating Machine Learning (ML) techniques in gravitational wave (GW) astronomy applications: classify GW signals, recognise noise and disturbances from the instrument, as well as identify GW signals from known mechanisms and GW signals from yet unknown mechanisms.

More specifically, the goal is to design problem-specific ML pipelines by considering ready-to-use algorithms for solving classical ML tasks (clustering, classification and regression), specific data structures for the development of novel ML algorithms, as well as specific frameworks for the development of GPU-based ML solutions.

Link for remote connection to the meeting:


WG1 members group photo (12 Apr 2022)


WG1 meeting registration form
  • Agata Trovato
  • Alberto Iess
  • Alejandro Torres Forne
  • Alessandro Parisi
  • Ali CELIK
  • Alicia M Sintes
  • Anastasia Iliopoulou
  • Androniki Dimitriou
  • Argyro Sasli
  • Daniele Dell Aquila
  • David Keitel
  • Davide Guerra
  • Dejan Gjorgjevikj
  • Dimitra Tseneklidou
  • Elena Cuoco
  • Ercüment Yılmaz
  • Fabio bonsignorio
  • Filip Morawski
  • Félix Bretaudeau
  • Gonçalo Gonçalves
  • Grégory Baltus
  • Isabel Cordero Carrión
  • Ismail Kirbas
  • Ivan Štajduhar
  • Joe Bayley
  • João Aveiro
  • Leigh Smith
  • Luana Modafferi
  • Luigia Petre
  • Maite Mateu-Lucena
  • Marc Andrés Carcasona
  • Mario Martinez
  • Melissa Lopez
  • Michal Bejger
  • Michele Ronco
  • Márcio Ferreira
  • Nikola Lopac
  • Nikolaos Stergioulas
  • Ondřej Zelenka
  • Osman Tayfun Bişkin
  • Pablo Cerdá-Durán
  • Panagiotis Iosif
  • Paraskevi Nousi
  • Pilar Rueda
  • Roberto Corizzo
  • Roberto Ruiz de Austri
  • Rodrigo Tenorio
  • Samuel Santos-Pérez
  • Stella Fragkouli
  • Velimir Ilić
    • 12:00 PM 12:20 PM
      Opening and Welcome: WG1 status
      Convener: Michal Bejger (INFN Ferrara & CAMK PAN)
    • 12:20 PM 12:40 PM
      Simulating transient noise burst in LIGO with Generative Adversarial Networks 20m
      Speaker: Melissa Lopez
    • 12:40 PM 1:00 PM
      1D CNN Denoising AutoEncoder for BBH waveforms 20m
      Speaker: Michal Bejger (INFN Ferrara & CAMK PAN)
    • 1:00 PM 2:30 PM
      Lunch 1h 30m
    • 2:30 PM 2:50 PM
      Complex systems in the G2net research 20m
      Speaker: Velimir Ilic
    • 2:50 PM 3:20 PM
      Validation of Speech Processing Techniques for Real-Time Detection of Gravitational Waves 30m
      Speaker: Daniele Dell'Aquila
    • 3:20 PM 3:50 PM
      Detection of GW Signals Using Quadratic Time-Frequency Distributions and Deep CNNs 30m
      Speaker: Nicola Lopac
    • 3:50 PM 4:15 PM
      Coffee break 25m
    • 4:15 PM 6:05 PM
      G2Net paper discussion
    • 9:30 AM 10:00 AM
      Searches for Mass-Asymmetric Compact Binary Coalescence Events using Convolutional Neural Networks 30m
      Speaker: ‪Marc Andrés-Carcasona‬
    • 10:00 AM 10:30 AM
      Searching for the phase transition in the dense matter equation of state using anomaly detection technique 30m
      Speaker: Filip Morawski
    • 10:30 AM 11:00 AM
      Application of Gaussian Mixture Modelling to the Short All-sky Burst Gravitational Wave Search 30m
      Speaker: Leigh Smith
    • 11:00 AM 11:30 AM
      Coffee break 30m
    • 11:30 AM 12:00 PM
      Searching for long-duration transient gravitational waves from glitching pulsars using Convolutional Neural Networks 30m
      Speaker: Luana Modafferi
    • 12:00 PM 12:30 PM
      Submission to the MLGWSC-1 30m
      Speaker: Ondřej Zelenka
    • 12:30 PM 1:00 PM
      CNN for early alert: Going down in frequency 30m
      Speaker: Grégory Baltus
    • 1:00 PM 2:30 PM
      Lunch 1h 30m
    • 2:30 PM 2:50 PM
      Vitamin: Rapid Bayesian parameter estimation of CBC signals using conditional variational autoencoders 20m
      Speaker: Bayley Joe
    • 2:50 PM 3:10 PM
      Core-collapse supernova detection and classification in real noise with CNN and LSTM 20m
      Speaker: Alberto Iess
    • 3:10 PM 3:50 PM
      Open challenges in the application of DL to distributed mobile sensing 40m
      Speaker: Fabio Bonsignorio
    • 3:50 PM 4:20 PM
    • 5:00 PM 7:00 PM
      Social event
    • 9:30 AM 10:00 AM
      Neural networks for gravitational wave trigger selection in single detector periods 30m
      Speaker: Agata Trovato
    • 10:00 AM 10:30 AM
      Modelling compact binary waveforms using machine learning methods 30m
      Speaker: Maite Mateu-Lucena
    • 10:30 AM 11:00 AM
      What could ML do for finding gravitationally lensed GWs? 30m
      Speaker: David Keitel
    • 11:00 AM 11:30 AM
      Coffee break 30m
    • 11:30 AM 11:50 AM
      Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate Modeling 20m
      Speaker: Stella Fragkouli
    • 11:50 AM 12:10 PM
      Intra-domain and cross-domain transfer learning for time series data—How transferable are the features? 20m
      Speaker: Ivan Štajduhar
    • 12:10 PM 1:00 PM
    • 1:00 PM 2:30 PM
      Lunch 1h 30m
    • 4:00 PM 6:00 PM
      Social event