Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Xiaoting Shao, Martin Trapp, Kristian Kersting, Zoubin Ghahramani

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Original languageEnglish
Title of host publicationConference on Uncertainty in Artificial Intelligence (UAI)
Publication statusPublished - Jul 2019

Cite this

Peharz, R., Vergari, A., Stelzner, K., Molina, A., Shao, X., Trapp, M., ... Ghahramani, Z. (2019). Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. In Conference on Uncertainty in Artificial Intelligence (UAI)

Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. / Peharz, Robert ; Vergari, Antonio; Stelzner, Karl; Molina, Alejandro; Shao, Xiaoting; Trapp, Martin; Kersting, Kristian; Ghahramani, Zoubin.

Conference on Uncertainty in Artificial Intelligence (UAI). 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Peharz, R, Vergari, A, Stelzner, K, Molina, A, Shao, X, Trapp, M, Kersting, K & Ghahramani, Z 2019, Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. in Conference on Uncertainty in Artificial Intelligence (UAI).
Peharz R, Vergari A, Stelzner K, Molina A, Shao X, Trapp M et al. Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. In Conference on Uncertainty in Artificial Intelligence (UAI). 2019
Peharz, Robert ; Vergari, Antonio ; Stelzner, Karl ; Molina, Alejandro ; Shao, Xiaoting ; Trapp, Martin ; Kersting, Kristian ; Ghahramani, Zoubin. / Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. Conference on Uncertainty in Artificial Intelligence (UAI). 2019.
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