4 citations · 10 across the 4 of their papers we have counts for
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cs.LG2023★ 4 cited
BayesFlow: Amortized Bayesian Workflows With Neural Networks
Stefan T Radev, Marvin Schmitt, Lukas Schumacher +5
Modern Bayesian inference involves a mixture of computational techniques for estimating, validating, and drawing conclusions from probabilistic models as part of principled workflo…
stat.ML2023★ 4 cited
A Deep Learning Method for Comparing Bayesian Hierarchical Models
Lasse Elsemüller, Martin Schnuerch, Paul-Christian Bürkner +1
Bayesian model comparison (BMC) offers a principled approach for assessing the relative merits of competing computational models and propagating uncertainty into model selection de…