Simulating transient noise burst in LIGO with Generative Adversarial Networks

• Melissa Lopez

1D CNN Denoising AutoEncoder for BBH waveforms

• Michal Bejger (INFN Ferrara & CAMK PAN)

Complex systems in the G2net research

• Velimir Ilic

Validation of Speech Processing Techniques for Real-Time Detection of Gravitational Waves

• Daniele Dell'Aquila

Detection of GW Signals Using Quadratic Time-Frequency Distributions and Deep CNNs

• Nicola Lopac

Searches for Mass-Asymmetric Compact Binary Coalescence Events using Convolutional Neural Networks

• ‪Marc Andrés-Carcasona‬

Searching for the phase transition in the dense matter equation of state using anomaly detection technique

• Filip Morawski

Application of Gaussian Mixture Modelling to the Short All-sky Burst Gravitational Wave Search

• Leigh Smith

Searching for long-duration transient gravitational waves from glitching pulsars using Convolutional Neural Networks

• Luana Modafferi

Submission to the MLGWSC-1

• Ondřej Zelenka

CNN for early alert: Going down in frequency

• Grégory Baltus

Vitamin: Rapid Bayesian parameter estimation of CBC signals using conditional variational autoencoders

• Bayley Joe

Core-collapse supernova detection and classification in real noise with CNN and LSTM

• Alberto Iess

Open challenges in the application of DL to distributed mobile sensing

• Fabio Bonsignorio

Neural networks for gravitational wave trigger selection in single detector periods

• Agata Trovato

Modelling compact binary waveforms using machine learning methods

• Maite Mateu-Lucena

What could ML do for finding gravitationally lensed GWs?

• David Keitel

Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate Modeling

• Stella Fragkouli

Intra-domain and cross-domain transfer learning for time series data—How transferable are the features?

• Ivan Štajduhar