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Found 3 papers, 2 papers with code
Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanism
We train a machine learning algorithm on the power spectrum of the recorded pressure wave and show that the trained emulator allows complete and fast event locations for $\textit{any}$ source mechanism.
SKYNET: an efficient and robust neural network training tool for machine learning in astronomy
We present the first public release of our generic neural network training algorithm, called SkyNet.
BAMBI: blind accelerated multimodal Bayesian inference
In this paper we present an algorithm for rapid Bayesian analysis that combines the benefits of nested sampling and artificial neural networks.
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