102 citations · 109 across the 3 of their papers we have counts for
3 papers
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck
Anirban Samaddar, Sandeep Madireddy, Prasanna Balaprakash +3
The information bottleneck framework provides a systematic approach to learning representations that compress nuisance information in the input and extract semantically meaningful…
Get on the BAND Wagon: A Bayesian Framework for Quantifying Model Uncertainties in Nuclear Dynamics
D. R. Phillips, R. J. Furnstahl, U. Heinz +8
We describe the Bayesian Analysis of Nuclear Dynamics (BAND) framework, a cyberinfrastructure that we are developing which will unify the treatment of nuclear models, experimental…
Bayesian averaging of computer models with domain discrepancies: a nuclear physics perspective
Vojtech Kejzlar, Léo Neufcourt, Taps Maiti +1
This article studies Bayesian model averaging (BMA) in the context of competing expensive computer models in a typical nuclear physics setup. While it is well known that BMA accoun…