Implicit Quantile Neural Networks for Jet Simulation and Correction

1 code implementation • 22 Nov 2021 • Braden Kronheim, Michelle P. Kuchera, Harrison B. Prosper, Raghuram Ramanujan

Reliable modeling of conditional densities is important for quantitative scientific fields such as particle physics.

TensorBNN: Bayesian Inference for Neural Networks using Tensorflow

1 code implementation • 30 Sep 2020 • Braden Kronheim, Michelle Kuchera, Harrison Prosper

TensorBNN is a new package based on TensorFlow that implements Bayesian inference for modern neural network models.

Bayesian Inference