Explainable autoencoder for neutron star dense matter parameter estimation

Today's article comes from the journal of Machine Learning Science and Technology. The authors are Di Clemente et al., from the National Institute for Nuclear Physics, in Italy. In this paper they build an autoencoder to help better understand the physical properties of neutron stars.

DOI: 10.1088/2632-2153/add3bd

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