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Found 2 papers, 2 papers with code
Accelerated Bayesian inference using deep learning
Parameter space can naturally be split into a block diagonal speed hierarchy, allowing for fast exploration of subspaces where it is inexpensive to evaluate the likelihood.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
Deep Recurrent Neural Networks for Supernovae Classification
When using only the data for the early-epoch challenge defined by the SPCC we achieve a classification accuracy of 93. 1\%, AUC of 0. 977 and $F_1=0. 58$, results almost as good as with the whole light-curve.
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