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cs.LG2019★ 4 cited
Deep Generalized Convolutional Sum-Product Networks
Jos van de Wolfshaar, Andrzej Pronobis
Sum-Product Networks (SPNs) are hierarchical, graphical models that combine benefits of deep learning and probabilistic modeling. SPNs offer unique advantages to applications deman…
cs.LG2017★ 12 cited
Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps
Kaiyu Zheng, Andrzej Pronobis, Rajesh P. N. Rao
We introduce Graph-Structured Sum-Product Networks (GraphSPNs), a probabilistic approach to structured prediction for problems where dependencies between latent variables are expre…