research
∙
05/25/2023
How to Turn Your Knowledge Graph Embeddings into Generative Models via Probabilistic Circuits
Some of the most successful knowledge graph embedding (KGE) models for l...
share
research
∙
01/11/2019
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks
We introduce SPFlow, an open-source Python library providing a simple in...
research
∙
10/09/2017
Sum-Product Networks for Hybrid Domains
While all kinds of mixed data -from personal data, over panel and scient...
research
∙
08/29/2016
Visualizing and Understanding Sum-Product Networks
Sum-Product Networks (SPNs) are recently introduced deep tractable proba...
research
∙
08/08/2016
Towards Representation Learning with Tractable Probabilistic Models
Probabilistic models learned as density estimators can be exploited in r...
research
∙
05/24/2012
Language-Constraint Reachability Learning in Probabilistic Graphs
The probabilistic graphs framework models the uncertainty inherent in re...
research
∙
03/06/2011
GRASP and path-relinking for Coalition Structure Generation
In Artificial Intelligence with Coalition Structure Generation (CSG) one...
research
∙
04/16/2010
