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Learning Bayesian posteriors with neural networks for gravitational-wave
  inference
v1v2v3 (latest)

Learning Bayesian posteriors with neural networks for gravitational-wave inference

12 September 2019
A. J. Chua
M. Vallisneri
    BDLUQCV
ArXiv (abs)PDFHTMLGithub (14★)

Papers citing "Learning Bayesian posteriors with neural networks for gravitational-wave inference"

14 / 14 papers shown
Title
Adapting to noise distribution shifts in flow-based gravitational-wave
  inference
Adapting to noise distribution shifts in flow-based gravitational-wave inference
J. Wildberger
Maximilian Dax
Stephen R. Green
J. Gair
M. Purrer
Jakob H. Macke
A. Buonanno
Bernhard Schölkopf
AI4CE
94
9
0
16 Nov 2022
Machine-Learning Love: classifying the equation of state of neutron
  stars with Transformers
Machine-Learning Love: classifying the equation of state of neutron stars with Transformers
Gonçalo Gonçalves
Márcio Ferreira
João Aveiro
António Onofre
F. F. Freitas
C. Providência
J. Font
101
5
0
15 Oct 2022
Inference-optimized AI and high performance computing for gravitational
  wave detection at scale
Inference-optimized AI and high performance computing for gravitational wave detection at scale
Pranshu Chaturvedi
Asad Khan
Minyang Tian
Eliu A. Huerta
Huihuo Zheng
72
28
0
26 Jan 2022
Group equivariant neural posterior estimation
Group equivariant neural posterior estimation
Maximilian Dax
Stephen R. Green
J. Gair
Michael Deistler
Bernhard Schölkopf
Jakob H. Macke
BDL
104
31
0
25 Nov 2021
Applications and Techniques for Fast Machine Learning in Science
Applications and Techniques for Fast Machine Learning in Science
A. Deiana
Nhan Tran
Joshua C. Agar
Michaela Blott
G. D. Guglielmo
...
Ashish Sharma
S. Summers
Pietro Vischia
J. Vlimant
Olivia Weng
92
72
0
25 Oct 2021
Interpretable AI forecasting for numerical relativity waveforms of
  quasi-circular, spinning, non-precessing binary black hole mergers
Interpretable AI forecasting for numerical relativity waveforms of quasi-circular, spinning, non-precessing binary black hole mergers
Asad Khan
Eliu A. Huerta
Huihuo Zheng
101
10
0
13 Oct 2021
Real-time gravitational-wave science with neural posterior estimation
Real-time gravitational-wave science with neural posterior estimation
Maximilian Dax
Stephen R. Green
J. Gair
Jakob H. Macke
A. Buonanno
Bernhard Schölkopf
85
135
0
23 Jun 2021
Advances in Machine and Deep Learning for Modeling and Real-time
  Detection of Multi-Messenger Sources
Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources
Eliu A. Huerta
Zhizhen Zhao
106
21
0
13 May 2021
Lightning-Fast Gravitational Wave Parameter Inference through Neural
  Amortization
Lightning-Fast Gravitational Wave Parameter Inference through Neural Amortization
Arnaud Delaunoy
Antoine Wehenkel
T. Hinderer
S. Nissanke
Christoph Weniger
A. Williamson
Gilles Louppe
123
30
0
24 Oct 2020
Genetic-algorithm-optimized neural networks for gravitational wave
  classification
Genetic-algorithm-optimized neural networks for gravitational wave classification
Dwyer Deighan
Scott E. Field
C. Capano
G. Khanna
57
22
0
09 Oct 2020
Computational Techniques for Parameter Estimation of Gravitational Wave
  Signals
Computational Techniques for Parameter Estimation of Gravitational Wave Signals
R. Meyer
M. Edwards
P. Maturana-Russel
N. Christensen
76
7
0
22 Sep 2020
Classifying the Equation of State from Rotating Core Collapse
  Gravitational Waves with Deep Learning
Classifying the Equation of State from Rotating Core Collapse Gravitational Waves with Deep Learning
M. Edwards
63
13
0
15 Sep 2020
Complete parameter inference for GW150914 using deep learning
Complete parameter inference for GW150914 using deep learning
Stephen R. Green
J. Gair
BDL
101
90
0
07 Aug 2020
Gravitational-wave parameter estimation with autoregressive neural
  network flows
Gravitational-wave parameter estimation with autoregressive neural network flows
Stephen R. Green
C. Simpson
J. Gair
BDL
128
86
0
18 Feb 2020
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