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Papers
2002.07656
Cited By

Gravitational-wave parameter estimation with autoregressive neural
network flows

Gravitational-wave parameter estimation with autoregressive neural network flows

18 February 2020

Stephen R. Green

ArXiv (abs)PDF HTML

Papers citing "Gravitational-wave parameter estimation with autoregressive neural network flows"

24 / 24 papers shown

Flexible Gravitational-Wave Parameter Estimation with Transformers

Flexible Gravitational-Wave Parameter Estimation with Transformers

Annalena Kofler

Stephen R. Green

Bernhard Scholkopf

106

1

0

02 Dec 2025

Recent Advances in Simulation-based Inference for Gravitational Wave Data Analysis

Recent Advances in Simulation-based Inference for Gravitational Wave Data Analysis

358

2

0

15 Jul 2025

Accelerated Bayesian parameter estimation and model selection for
gravitational waves with normalizing flows

Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows

Alicja Polanska

Thibeau Wouters

Peter T. H. Pang

Kaze K. W. Wong

Jason D. McEwen

332

5

0

28 Oct 2024

Real-time gravitational-wave inference for binary neutron stars using
machine learning

Real-time gravitational-wave inference for binary neutron stars using machine learning

Stephen R. Green

Bernhard Scholkopf

317

37

0

12 Jul 2024

Hyperparameter optimization of hp-greedy reduced basis for gravitational
wave surrogates

Hyperparameter optimization of hp-greedy reduced basis for gravitational wave surrogates

Emmanuel A. Tassone

154

0

0

23 Oct 2023

Towards a robust and reliable deep learning approach for detection of
compact binary mergers in gravitational wave data

Towards a robust and reliable deep learning approach for detection of compact binary mergers in gravitational wave data

Mihir Shrivastava

270

13

0

20 Jun 2023

Flow Matching for Scalable Simulation-Based Inference

Flow Matching for Scalable Simulation-Based InferenceNeural Information Processing Systems (NeurIPS), 2023

Stephen R. Green

Jakob H. Macke

Bernhard Schölkopf

233

107

0

26 May 2023

Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests

Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests

H. Reyes-González

347

6

0

23 Feb 2023

Adapting to noise distribution shifts in flow-based gravitational-wave
inference

Adapting to noise distribution shifts in flow-based gravitational-wave inference

Stephen R. Green

Jakob H. Macke

Bernhard Schölkopf

310

12

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 TransformersJournal of Cosmology and Astroparticle Physics (JCAP), 2022

Gonçalo Gonçalves

Márcio Ferreira

António Onofre

C. Providência

246

6

0

15 Oct 2022

Neural Importance Sampling for Rapid and Reliable Gravitational-Wave
Inference

Neural Importance Sampling for Rapid and Reliable Gravitational-Wave InferencePhysical Review Letters (PRL), 2022

Stephen R. Green

Jakob H. Macke

Bernhard Schölkopf

241

84

0

11 Oct 2022

Boosting the Efficiency of Parametric Detection with Hierarchical Neural
Networks

Boosting the Efficiency of Parametric Detection with Hierarchical Neural Networks

301

3

0

23 Jul 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 scaleFrontiers in Artificial Intelligence (FAI), 2022

Pranshu Chaturvedi

322

31

0

26 Jan 2022

AI and extreme scale computing to learn and infer the physics of higher
order gravitational wave modes of quasi-circular, spinning, non-precessing
binary black hole mergers

AI and extreme scale computing to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers

275

6

0

13 Dec 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

297

10

0

13 Oct 2021

Real-time gravitational-wave science with neural posterior estimation

Real-time gravitational-wave science with neural posterior estimation

Stephen R. Green

Jakob H. Macke

Bernhard Schölkopf

279

185

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

355

22

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

Christoph Weniger

414

34

0

24 Oct 2020

Improving significance of binary black hole mergers in Advanced LIGO
data using deep learning : Confirmation of GW151216

Improving significance of binary black hole mergers in Advanced LIGO data using deep learning : Confirmation of GW151216

177

17

0

16 Oct 2020

Genetic-algorithm-optimized neural networks for gravitational wave
classification

Genetic-algorithm-optimized neural networks for gravitational wave classification

211

23

0

09 Oct 2020

Computational Techniques for Parameter Estimation of Gravitational Wave
Signals

Computational Techniques for Parameter Estimation of Gravitational Wave Signals

P. Maturana-Russel

272

9

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

426

18

0

15 Sep 2020

Unifying supervised learning and VAEs -- coverage, systematics and
goodness-of-fit in normalizing-flow based neural network models for
astro-particle reconstructions

Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructions

325

3

0

13 Aug 2020

Complete parameter inference for GW150914 using deep learning

Complete parameter inference for GW150914 using deep learning

Stephen R. Green

204

109

0

07 Aug 2020

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