[HTML][HTML] Additive autoencoder for dimension estimation
T Kärkkäinen, J Hänninen - Neurocomputing, 2023 - Elsevier
Dimension reduction is one of the key data transformation techniques in machine learning
and knowledge discovery. It can be realized by using linear and nonlinear transformation …
and knowledge discovery. It can be realized by using linear and nonlinear transformation …
Rapid eccentric spin-aligned binary black hole waveform generation based on deep learning
Accurate waveform templates of binary black holes (BBHs) with eccentric orbits are essential
for the detection and precise parameter estimation of gravitational waves (GWs). While …
for the detection and precise parameter estimation of gravitational waves (GWs). While …
Machine Learning Applications in Gravitational Wave Astronomy
N Stergioulas - Compact Objects in the Universe, 2024 - Springer
Gravitational wave astronomy has emerged as a new branch of observational astronomy,
since the first detection of gravitational waves in 2015. The current number of O (100) …
since the first detection of gravitational waves in 2015. The current number of O (100) …
Deep residual error and bag-of-tricks learning for gravitational wave surrogate modeling
Deep learning methods have been employed in gravitational-wave astronomy to accelerate
the construction of surrogate waveforms for the inspiral of spin-aligned black hole binaries …
the construction of surrogate waveforms for the inspiral of spin-aligned black hole binaries …
NRSurNN3dq4: A Deep Learning Powered Numerical Relativity Surrogate for Binary Black Hole Waveforms
OG Freitas, A Theodoropoulos, N Villanueva… - arXiv preprint arXiv …, 2024 - arxiv.org
Gravitational wave approximants are widely used tools in gravitational-wave astronomy.
They allow for dense coverage of the parameter space of binary black hole (BBH) mergers …
They allow for dense coverage of the parameter space of binary black hole (BBH) mergers …
Machine learning applications in search algorithms for gravitational waves from compact binary mergers
MB Schäfer - 2023 - repo.uni-hannover.de
Gravitational waves from compact binary mergers are now routinely observed by Earth-
bound detectors. These observations enable exciting new science, as they have opened a …
bound detectors. These observations enable exciting new science, as they have opened a …
[PDF][PDF] Applications of machine learning to gravitational waves
O Zelenka - 2023 - db-thueringen.de
Applications of Machine Learning to Gravitational Waves Page 1 Applications of Machine
Learning to Gravitational Waves DISSERTATION zur Erlangung des akademischen Grades …
Learning to Gravitational Waves DISSERTATION zur Erlangung des akademischen Grades …
3D Detection of ALMA Sources Through Deep Learning
Abstract We present a Deep Learning pipeline for the detection of astronomical sources
within radiointerferometric simulated data cubes. Our pipeline is constituted by two Deep …
within radiointerferometric simulated data cubes. Our pipeline is constituted by two Deep …