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

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

Institute of Signal Processing and Speech Communication (4420)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Original language	English
Title of host publication	Conference on Uncertainty in Artificial Intelligence (UAI)
Publication status	Published - Jul 2019

Cite this

@inproceedings{1f6fbd6808304e4c90943837514aba40,

title = "Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning",

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

year = "2019",

month = jul,

language = "English",

booktitle = "Conference on Uncertainty in Artificial Intelligence (UAI)",

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TY - GEN

T1 - Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

AU - Peharz, Robert

AU - Vergari, Antonio

AU - Stelzner, Karl

AU - Molina, Alejandro

AU - Shao, Xiaoting

AU - Trapp, Martin

AU - Kersting, Kristian

AU - Ghahramani, Zoubin

PY - 2019/7

Y1 - 2019/7

M3 - Conference paper

BT - Conference on Uncertainty in Artificial Intelligence (UAI)

ER -