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Machine Learning in Gravitational Wave search: g2net next challenges

28–30 Sept 2022
European Gravitational Observatory
Europe/Rome timezone

Contact (LOC)

List of Contributions

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3. Welcome from EGO Director
Stavros Katsanevas
28/09/2022, 11:00
4. Welcome from Action Chair
Elena Cuoco
28/09/2022, 11:15
9. Discovering gravitational waves with Machine Learning
Marco Cavaglia
28/09/2022, 11:30
14. Searches for Mass-Asymmetric Compact Binary Coalescence Events using Neural Networks in the LIGO/Virgo Third Observation Period
Mario Martinez
28/09/2022, 12:20
20. Deep Residual Networks for GW Astronomy
Paraskevi Nousi (Aristotle University of Thessaloniki)
28/09/2022, 12:40
7. What's happening in AI research?
Michela Paganini (DeepMind)
28/09/2022, 14:15

The field of AI research finds itself at an interesting decision point: to exploit promising solutions that rose to prominence over the past few years and scale them up to more and more powerful generalist models, or to explore new unknown areas? Do we already have all the basic ingredients we need? 
This talk will describe some of the currently most popular architectures (Transformers,...
13. WG3 perspective after 4 years of g2net
Luigia Petre (Åbo Akademi University)
28/09/2022, 15:00
11. Pros and Cons of Mobile Sensors
Fabio Bonsignorio
28/09/2022, 15:30
12. Robot mobile platform for remote sensing
Grzegorz Nieradka
28/09/2022, 16:15
28. Automatic Hierarchical Exploration of Continuous Seismic Signal with Unsupervised Learning
Christopher Zerafa (University of Malta)
28/09/2022, 16:35
18. Nonstationary Signals Analysis: New opportunities from the Mathematics of Signal Processing
Antonio Cicone (University of L'Aquila)
29/09/2022, 09:10
22. Characterization of LIGO/Virgo selection effects with neural networks
Davide Gerosa (University of Milano-Bicocca)
29/09/2022, 09:30
21. ML acceleration of binary neutron star gravitational template generation
Jacopo Tissino (GSSI)
29/09/2022, 09:50
19. Gravitational-wave population models with deep learning
Matthew Mould (University of Birmingham)
29/09/2022, 10:10
31. Group photo
29/09/2022, 10:30
24. Outsourcing astrophysics data analysis to the real experts
Joe Bayley (University of Glasgow)
29/09/2022, 11:10
10. G2Net Gravitational Wave Detection Kaggle Competition Winner talk
Denis Kanonik (Stealth Startup)
29/09/2022, 11:30
8. Towards the next generation of transient gravitational wave searches
Melissa Lopez
29/09/2022, 12:15

The state-of-the-art of gravitational wave (GW) search techniques for transient signals have been extremely successful, but their sensitivity continues to be hindered by the presence of transient noise artifacts in the detectors, known as glitches. Glitches happen at a rate of 1 per min reducing the amount of scientific data available, as well as masking or mimicking GW signals. Therefore,...
23. Glitch Hunting with Machine Learning
massimiliano razzano
29/09/2022, 14:30
25. Learning to detect continuous gravitational waves
Rodrigo Tenorio (University of the Balearic Islands)
29/09/2022, 14:50
29. Neural Networks Applications For Core-Collapse Supernovae Searches
Dr Alberto Iess (Scuola Normale Superiore)
29/09/2022, 15:10
30. G2net Outreach and Communication Activities
Isabel Cordero
29/09/2022, 15:30
32. The Advanced Virgo detector, a tour preview
francesco di renzo
29/09/2022, 16:30
33. Virgo tour
29/09/2022, 16:50
16. A surrogate model for IMRIs in presence of dark matter spikes
Teophanes Karydas (University of Amsterdam)
30/09/2022, 09:10
17. Machine learning for detection of dark matter spike around black holes through gravitational waves
Alessandro Parisi (Scuola Normale Superiore di Pisa)
30/09/2022, 09:30
15. Deep Learning Gravitational-Wave Searches for Cosmic Strings
Quirijn Meijer
30/09/2022, 09:50
26. TBD
Uddipta Bhardwaj (GRAPPA, University of Amsterdam)
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