4 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 3 cited
Credal Bayesian Deep Learning
Michele Caprio, Souradeep Dutta, Kuk Jin Jang +4
Uncertainty quantification and robustness to distribution shifts are important goals in machine learning and artificial intelligence. Although Bayesian Neural Networks (BNNs) allow…
cs.DC2021★ 4 cited
Salt-based autopeering for DLT-networks
Sebastian Müller, Angelo Capossele, Bartosz Kuśmierz +6
The security of any Distributed Ledger Technology (DLT) depends on the safety of the network layer. Much effort has been put into understanding the consensus layer of DLTs. However…