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

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

12 July 2024
Maximilian Dax
Stephen R. Green
J. Gair
N. Gupte
M. Purrer
Vivien Raymond
J. Wildberger
Jakob H. Macke
A. Buonanno
Bernhard Scholkopf
ArXivPDFHTML

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

3 / 3 papers shown
Title
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering
Juehang Qin
Shixiao Liang
C. Tunnell
TPM
37
0
0
15 May 2025
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
Julius Vetter
Manuel Gloeckler
Daniel Gedon
Jakob H Macke
41
0
0
24 Apr 2025
Fast and Reliable Probabilistic Reflectometry Inversion with
  Prior-Amortized Neural Posterior Estimation
Fast and Reliable Probabilistic Reflectometry Inversion with Prior-Amortized Neural Posterior Estimation
V. Starostin
Maximilian Dax
A. Gerlach
A. Hinderhofer
Álvaro Tejero-Cantero
Frank Schreiber
24
0
0
26 Jul 2024
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