2 citations · 2 across the 2 of their papers we have counts for
2 papers
nucl-th2023★ 2 cited
Normalizing Flows for Bayesian Posteriors: Reproducibility and Deployment
Yukari Yamauchi, Landon Buskirk, Pablo Giuliani +1
We present a computational framework for efficient learning, sampling, and distribution of general Bayesian posterior distributions. The framework leverages a machine learning appr…
nucl-th2023
Nucleonic Shells and Nuclear Masses
Landon Buskirk, Kyle Godbey, Witold Nazarewicz +1
The binding energy of an isotope is a sensitive indicator of the underlying shell structure as it reflects the net energy content of a nucleus. Since magic nuclei are significantly…