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20162022
most citedSPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks

32 citations · 70 across the 6 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

cs.LG2017

Sum-Product Networks for Hybrid Domains

Alejandro Molina, Antonio Vergari, Nicola Di Mauro +3

While all kinds of mixed data -from personal data, over panel and scientific data, to public and commercial data- are collected and stored, building probabilistic graphical models…

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…