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Ameliorating transient noise bursts in gravitational-wave searches for intermediate-mass black holes
Melissa Lopez, Giada Caneva Santoro, Ana Martins, Stefano Schmidt, Jonno Schoppink, Wouter van Straalen, Collin Capano and Sarah Caudill Physical Review D 111(10) (2025) https://doi.org/10.1103/PhysRevD.111.103020
Extracting non-Gaussian features in gravitational wave observation data using self-supervised learning
Determining the core-collapse supernova explosion mechanism with current and future gravitational-wave observatories
Jade Powell, Alberto Iess, Miquel Llorens-Monteagudo, Martin Obergaulinger, Bernhard Müller, Alejandro Torres-Forné, Elena Cuoco and José A. Font Physical Review D 109(6) (2024) https://doi.org/10.1103/PhysRevD.109.063019
Premerger detection of massive black hole binaries using deep learning
Evaluating machine learning models for supernova gravitational wave signal classification
Y Sultan Abylkairov, Matthew C Edwards, Daniil Orel, Ayan Mitra, Bekdaulet Shukirgaliyev and Ernazar Abdikamalov Machine Learning: Science and Technology 5(4) 045077 (2024) https://doi.org/10.1088/2632-2153/ada33a
Deep-learning classification and parameter inference of rotational core-collapse supernovae
Solange Nunes, Gabriel Escrig, Osvaldo G. Freitas, José A. Font, Tiago Fernandes, Antonio Onofre and Alejandro Torres-Forné Physical Review D 110(6) (2024) https://doi.org/10.1103/PhysRevD.110.064037
Photometric redshift estimation for CSST survey with LSTM neural networks
Zhijian Luo, Yicheng Li, Junhao Lu, Zhu Chen, Liping Fu, Shaohua Zhang, Hubing Xiao, Wei Du, Yan Gong, Chenggang Shu, Wenwen Ma, Xianmin Meng, Xingchen Zhou and Zuhui Fan Monthly Notices of the Royal Astronomical Society 535(2) 1844 (2024) https://doi.org/10.1093/mnras/stae2446
N. Krüger and M. Völschow 1138 55 (2024) https://doi.org/10.1007/978-3-031-60023-4_10
Comparative study of 1D and 2D convolutional neural network models with attribution analysis for gravitational wave detection from compact binary coalescences
Seiya Sasaoka, Naoki Koyama, Diego Dominguez, Yusuke Sakai, Kentaro Somiya, Yuto Omae and Hirotaka Takahashi Physical Review D 109(4) (2024) https://doi.org/10.1103/PhysRevD.109.043011
Parameter estimation of protoneutron stars from gravitational wave signals using the Hilbert-Huang transform
Seiya Sasaoka, Yusuke Sakai, Diego Dominguez, Kentaro Somiya, Kazuki Sakai, Ken-ichi Oohara, Marco Meyer-Conde and Hirotaka Takahashi Physical Review D 110(10) (2024) https://doi.org/10.1103/PhysRevD.110.104020
Visualizing convolutional neural network for classifying gravitational waves from core-collapse supernovae
Using a neural network approach to accelerate disequilibrium chemistry calculations in exoplanet atmospheres
Julius L A M Hendrix, Amy J Louca and Yamila Miguel Monthly Notices of the Royal Astronomical Society 524(1) 643 (2023) https://doi.org/10.1093/mnras/stad1763