Document List by Topic

These documents on Machine Learning (subtopic of Data Analysis) are available:
(List events on Machine Learning)

LIGO-Number Title Author(s) Topic(s) Last Updated
P2300288-v3 Rapid neutron star equation of state inference with Normalising Flows Jordan McGinn et al. Compact Binaries
Astrophysics / Multi-messenger
Machine Learning
18 Apr 2024
T2300288-v1 Implementing Nonlinear Control in a Classical Experiment to Reduce Measurement Noise Andrei Diaconu et al. Machine Learning
State Control and Monitoring
03 Apr 2024
T2300219-v1 Identifying Correlations in Precessing Gravitational-Wave Signals with Machine Learning Karen Kang et al. Compact Binaries
Data Analysis
Machine Learning
03 Jan 2024
T2300147-v2 LIGO Seismic State Characterization using Machine Learning Techniques Isaac Kelly et al. Machine Learning
State Control and Monitoring
30 Oct 2023
P2300230-v2 Improving our ability to distinguish gravitational-wave signals from detector transient noise for the fourth LIGO-Virgo-KAGRA observing run Sofia Alvarez Detector Characterization
Thesis/Dissertation
Machine Learning
15 Jul 2023
G2301235-v2 O-LIGO Update for GWANW 2023 Benjamin Farr et al. Compact Binaries
Astrophysics / Multi-messenger
Detector Characterization
Machine Learning
Data analysis software
28 Jun 2023
G2301233-v2 UBC/TRIUMF update for GWANW Jess McIver Compact Binaries
Astrophysics / Multi-messenger
Detector Characterization
Meeting
Calibration
Continuous Wave
Detector
Data Analysis
Machine Learning
Data analysis software
27 Jun 2023
T2200196-v1 Developing Deep Learning Solutions for Lock Acquisition Peter Ma et al. Commissioning
Sensing and Control
Machine Learning
10 Mar 2023
T2200207-v3 Identifying Witnesses to LIGO Glitches Using Auxiliary Channels Luis Bariuan et al. Machine Learning
20 Sep 2022
T2000181-v3 Nonlinear Regression of Technical Noise in LIGO with Machine Learning Rana Adhikari et al. Detector Characterization
Machine Learning
Basic R&D
25 Oct 2021
T2000390-v4 Machine Learning Applications in Gravitational Wave Detection to Reduce Noise Nadezhda Dimitrova et al. Detector Characterization
Data quality / vetoes
Data Analysis
Machine Learning
02 Dec 2020
G1901483-v6 Source-classification and source-properties computation in low-latency Shaon Ghosh Compact Binaries
Astrophysics / Multi-messenger
Machine Learning
GW source predictions
15 Aug 2019
T1800282-v1 Utilizing Machine Learning to Improve Searches for LIGO Sources Sarah McCarthy et al. Compact Binaries
Detector Characterization
Machine Learning
30 Mar 2019
T1800288-v4 Sub-Classification of Blip Glitches Using Q-Transforms and Convolutional Neural Networks with GravitySpy Melissa Kohl et al. Detector Characterization
Data quality / vetoes
Machine Learning
Data analysis software
30 Mar 2019
L1900080-v1 GW Cloud: Executive Summary Paul Lasky et al. Compact Binaries
Machine Learning
GW source predictions
Data analysis software
Computing/archiving
26 Feb 2019

Number of documents found: 15


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