/gr_ml

GR applications of machine learning -- publications list

Machine Learning in General Relativity

This repository tracks a list of papers on machine learning applications in general relativity and, more generally, some PDE solvers and solution techniques that involve machine learning.

Review Articles

  • 1911.11779 -- Enabling real-time multi-messenger astrophysics discoveries with deep learning
  • 2105.06479 -- Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources

General PDE Integration

  • 1912.11073 -- Artificial neural network subgrid models of 2-D compressible magnetohydrodynamic turbulence

  • 1706.04702 -- Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations

  • 1711.06464 -- A unified deep artificial neural network approach to partial differential equations in complex geometries

  • 2001.06145 -- A Derivative-Free Method for Solving Elliptic Partial Differential Equations with Deep Neural Networks

  • 2003.00596 -- Overcoming the curse of dimensionality in the numerical approximation of high-dimensional semilinear elliptic partial differential equations

  • 1711.10561 -- Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations

  • 1711.10566 -- Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations

GW Parameter estimation

  • 1711.03121 -- Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation: Results with Advanced LIGO Data
    Daniel George, E. A. Huerta
    CNN
  • 1909.05966 -- Learning Bayesian posteriors with neural networks for gravitational-wave inference
    Alvin J. K. Chua, Michele Vallisneri
    Perceptron
  • 1909.06296 -- Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy
    Hunter Gabbard, Chris Messenger, Ik Siong Heng, Francesco Tonolini, Roderick Murray-Smith
    VAE
  • 2002.07656 -- Gravitational-wave parameter estimation with autoregressive neural network flows
    Stephen R. Green, Christine Simpson, Jonathan Gair
    NF
  • 2008.03312 -- Complete parameter inference for GW150914 using deep learning
    Stephen R. Green, Jonathan Gair
    NF
  • 2012.13101 -- Detection and Parameter Estimation of Gravitational Waves from Binary Neutron-Star Mergers in Real LIGO Data using Deep Learning
    Plamen G. Krastev, Kiranjyot Gill, V. Ashley Villar, Edo Berger
    CNN

GW Detection

  • 1701.00008 -- Deep Neural Networks to Enable Real-time Multimessenger Astrophysics
    Daniel George, E. A. Huerta
    CNN
  • 1712.06041 -- Matching matched filtering with deep networks in gravitational-wave astronomy
    Hunter Gabbard, Michael Williams, Fergus Hayes, Chris Messenger
    CNN
  • 1904.08693 -- Convolutional neural networks: a magic bullet for gravitational-wave detection?
    Timothy D. Gebhard, Niki Kilbertus, Ian Harry, Bernhard Schölkopf
    CNN
  • 1909.13442 -- Gravitational wave signal recognition of O1 data by deep learning
    He Wang, Zhoujian Cao, Xiaolin Liu, Shichao Wu, Jian-Yang Zhu
    CNN
  • 1908.03151 -- Real-Time Detection of Gravitational Waves from Binary Neutron Stars using Artificial Neural Networks
    Plamen G. Krastev
    CNN
  • 2007.04176 -- Detection of Gravitational Waves Using Bayesian Neural Networks
    Yu-Chiung Lin, Jiun-Huei Proty Wu
    CNN/LSTM
  • 2009.04088 -- Deep learning for gravitational-wave data analysis: A resampling white-box approach
    Manuel D. Morales, Javier M. Antelis, Claudia Moreno, Alexander I. Nesterov
    CNN
  • 2011.04418 -- Improved deep learning techniques in gravitational-wave data analysis
    Heming Xia, Lijing Shao, Junjie Zhao, Zhoujian Cao
    CNN

De-noising, etc

  • 1901.00869 -- Gravitational Wave Denoising of Binary Black Hole Mergers with Deep Learning
    Wei Wei, E. A. Huerta
    CNN (WaveNet)
  • 2012.03963 -- Deep Learning with Quantized Neural Networks for Gravitational Wave Forecasting of Eccentric Compact Binary Coalescence
    Wei Wei, E. A. Huerta, Mengshen Yun, Nicholas Loutrel, Roland Haas, Volodymyr Kindratenko
    ResNet

General parameter estimation

  • 1312.6114
  • 1401.4082
  • 1505.05770
  • 1606.04934
  • 1705.07057