32 citations · 70 across the 6 of their papers we have counts for
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cs.AI2020★ 7 cited
CryptoSPN: Privacy-preserving Sum-Product Network Inference
Amos Treiber, Alejandro Molina, Christian Weinert +2
AI algorithms, and machine learning (ML) techniques in particular, are increasingly important to individuals' lives, but have caused a range of privacy concerns addressed by, e.g.,…
cs.AI2017
Coresets for Dependency Networks
Alejandro Molina, Alexander Munteanu, Kristian Kersting
Many applications infer the structure of a probabilistic graphical model from data to elucidate the relationships between variables. But how can we train graphical models on a mass…