Name: CA17137 G2Net WG1 meeting
Start: 2022-04-11T12:00:00+02:00
End: 2022-04-13T18:00:00+02:00
Location: Faculty of Mathematics of the University of Valencia

CA17137 G2Net WG1 meeting

from Monday, 11 April 2022 (12:00) to Wednesday, 13 April 2022 (18:00)

Monday, 11 April 2022

12:00 WG1 status
WG1 status
12:00 - 12:20
12:20 Simulating transient noise burst in LIGO with Generative Adversarial Networks - Melissa Lopez
Simulating transient noise burst in LIGO with Generative Adversarial Networks
- Melissa Lopez
12:20 - 12:40
12:40 1D CNN Denoising AutoEncoder for BBH waveforms - Michal Bejger (INFN Ferrara & CAMK PAN)
1D CNN Denoising AutoEncoder for BBH waveforms
- Michal Bejger (INFN Ferrara & CAMK PAN)
12:40 - 13:00
13:00 Lunch
Lunch
13:00 - 14:30
14:30 Complex systems in the G2net research - Velimir Ilic
Complex systems in the G2net research
- Velimir Ilic
14:30 - 14:50
14:50 Validation of Speech Processing Techniques for Real-Time Detection of Gravitational Waves - Daniele Dell'Aquila
Validation of Speech Processing Techniques for Real-Time Detection of Gravitational Waves
- Daniele Dell'Aquila
14:50 - 15:20
15:20 Detection of GW Signals Using Quadratic Time-Frequency Distributions and Deep CNNs - Nicola Lopac
Detection of GW Signals Using Quadratic Time-Frequency Distributions and Deep CNNs
- Nicola Lopac
15:20 - 15:50
15:50 Coffee break
Coffee break
15:50 - 16:15

16:15

16:15 - 18:05
Tuesday, 12 April 2022
09:30 Searches for Mass-Asymmetric Compact Binary Coalescence Events using Convolutional Neural Networks - ‪Marc Andrés-Carcasona‬
Searches for Mass-Asymmetric Compact Binary Coalescence Events using Convolutional Neural Networks
- ‪Marc Andrés-Carcasona‬
09:30 - 10:00
10:00 Searching for the phase transition in the dense matter equation of state using anomaly detection technique - Filip Morawski
Searching for the phase transition in the dense matter equation of state using anomaly detection technique
- Filip Morawski
10:00 - 10:30
10:30 Application of Gaussian Mixture Modelling to the Short All-sky Burst Gravitational Wave Search - Leigh Smith
Application of Gaussian Mixture Modelling to the Short All-sky Burst Gravitational Wave Search
- Leigh Smith
10:30 - 11:00
11:00 Coffee break
Coffee break
11:00 - 11:30
11:30 Searching for long-duration transient gravitational waves from glitching pulsars using Convolutional Neural Networks - Luana Modafferi
Searching for long-duration transient gravitational waves from glitching pulsars using Convolutional Neural Networks
- Luana Modafferi
11:30 - 12:00
12:00 Submission to the MLGWSC-1 - Ondřej Zelenka
Submission to the MLGWSC-1
- Ondřej Zelenka
12:00 - 12:30
12:30 CNN for early alert: Going down in frequency - Grégory Baltus
CNN for early alert: Going down in frequency
- Grégory Baltus
12:30 - 13:00
13:00 Lunch
Lunch
13:00 - 14:30
14:30 Vitamin: Rapid Bayesian parameter estimation of CBC signals using conditional variational autoencoders - Bayley Joe
Vitamin: Rapid Bayesian parameter estimation of CBC signals using conditional variational autoencoders
- Bayley Joe
14:30 - 14:50
14:50 Core-collapse supernova detection and classification in real noise with CNN and LSTM - Alberto Iess
Core-collapse supernova detection and classification in real noise with CNN and LSTM
- Alberto Iess
14:50 - 15:10
15:10 Open challenges in the application of DL to distributed mobile sensing - Fabio Bonsignorio
Open challenges in the application of DL to distributed mobile sensing
- Fabio Bonsignorio
15:10 - 15:50
15:50

15:50 - 16:20

17:00

17:00 - 19:00
Wednesday, 13 April 2022
09:30 Neural networks for gravitational wave trigger selection in single detector periods - Agata Trovato
Neural networks for gravitational wave trigger selection in single detector periods
- Agata Trovato
09:30 - 10:00
10:00 Modelling compact binary waveforms using machine learning methods - Maite Mateu-Lucena
Modelling compact binary waveforms using machine learning methods
- Maite Mateu-Lucena
10:00 - 10:30
10:30 What could ML do for finding gravitationally lensed GWs? - David Keitel
What could ML do for finding gravitationally lensed GWs?
- David Keitel
10:30 - 11:00
11:00 Coffee break
Coffee break
11:00 - 11:30
11:30 Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate Modeling - Stella Fragkouli
Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate Modeling
- Stella Fragkouli
11:30 - 11:50
11:50 Intra-domain and cross-domain transfer learning for time series data—How transferable are the features? - Ivan Štajduhar
Intra-domain and cross-domain transfer learning for time series data—How transferable are the features?
- Ivan Štajduhar
11:50 - 12:10
12:10

12:10 - 13:00

13:00 Lunch
Lunch
13:00 - 14:30

16:00

16:00 - 18:00