57 citations · 194 across the 11 of their papers we have counts for
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cs.LG2022
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach
Vishnu Raj, Tianyu Cui, Markus Heinonen +1
Bayesian neural networks (BNNs) can account for both aleatoric and epistemic uncertainty. However, in BNNs the priors are often specified over the weights which rarely reflects tru…
cs.LG2019★ 18 cited
Learning Global Pairwise Interactions with Bayesian Neural Networks
Tianyu Cui, Pekka Marttinen, Samuel Kaski
Estimating global pairwise interaction effects, i.e., the difference between the joint effect and the sum of marginal effects of two input features, with uncertainty properly quant…