255 citations · 497 across the 19 of their papers we have counts for
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physics.comp-ph2020★ 13 cited
TensorBNN: Bayesian Inference for Neural Networks using Tensorflow
Braden Kronheim, Michelle Kuchera, Harrison Prosper
TensorBNN is a new package based on TensorFlow that implements Bayesian inference for modern neural network models. The posterior density of neural network model parameters is repr…
physics.comp-ph2020★ 3 cited
Report from the A.I. For Nuclear Physics Workshop
Paulo Bedaque, Amber Boehnlein, Mario Cromaz +15
This report is an outcome of the workshop "AI for Nuclear Physics" held at Thomas Jefferson National Accelerator Facility on March 4-6, 2020. The workshop brought together 184 scie…