Picture for Frank Ohme

Frank Ohme

Max-Planck-Institut für Gravitationsphysik, Leibniz Universität Hannover

Convolutional Neural Networks for signal detection in real LIGO data

Add code
Feb 12, 2024
Viaarxiv icon

MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge

Add code
Sep 22, 2022
Figure 1 for MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge
Figure 2 for MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge
Figure 3 for MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge
Figure 4 for MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge
Viaarxiv icon

Training Strategies for Deep Learning Gravitational-Wave Searches

Add code
Jun 07, 2021
Figure 1 for Training Strategies for Deep Learning Gravitational-Wave Searches
Figure 2 for Training Strategies for Deep Learning Gravitational-Wave Searches
Figure 3 for Training Strategies for Deep Learning Gravitational-Wave Searches
Figure 4 for Training Strategies for Deep Learning Gravitational-Wave Searches
Viaarxiv icon

Detection of gravitational-wave signals from binary neutron star mergers using machine learning

Add code
Jun 02, 2020
Figure 1 for Detection of gravitational-wave signals from binary neutron star mergers using machine learning
Figure 2 for Detection of gravitational-wave signals from binary neutron star mergers using machine learning
Figure 3 for Detection of gravitational-wave signals from binary neutron star mergers using machine learning
Figure 4 for Detection of gravitational-wave signals from binary neutron star mergers using machine learning
Viaarxiv icon