Random Sum-Product Networks: A Simple but Effective Approach to Probabilistic Deep Learning (bibtex)
by Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Xiaoting Shao, Martin Trapp, Kristian Kersting and Zoubin Ghahramani
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Reference:
Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Xiaoting Shao, Martin Trapp, Kristian Kersting and Zoubin Ghahramani. Random Sum-Product Networks: A Simple but Effective Approach to Probabilistic Deep Learning, In Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI), 2019.
Bibtex Entry:
@inproceedings{peharz2019random, title = {Random Sum-Product Networks: A Simple but Effective Approach to Probabilistic Deep Learning}, author = {Peharz, Robert and Vergari, Antonio and Stelzner, Karl and Molina, Alejandro and Shao, Xiaoting and Trapp, Martin and Kersting, Kristian and Ghahramani, Zoubin}, booktitle= {Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI)}, year = {2019}, month = jul, url = "http://auai.org/uai2019/proceedings/papers/124.pdf", annotation = "(Oral full presentation)", keywords = {conference,selective} }
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