32 citations · 70 across the 6 of their papers we have counts for
3 papers · 1 filter
Model-based Approximate Query Processing
Moritz Kulessa, Alejandro Molina, Carsten Binnig +2
Interactive visualizations are arguably the most important tool to explore, understand and convey facts about data. In the past years, the database community has been working on di…
Automatic Bayesian Density Analysis
Antonio Vergari, Alejandro Molina, Robert Peharz +3
Making sense of a dataset in an automatic and unsupervised fashion is a challenging problem in statistics and AI. Classical approaches for {exploratory data analysis} are usually n…
Probabilistic Deep Learning using Random Sum-Product Networks
Robert Peharz, Antonio Vergari, Karl Stelzner +4
The need for consistent treatment of uncertainty has recently triggered increased interest in probabilistic deep learning methods. However, most current approaches have severe limi…