Deep Learning Seminar

"Sum-Product Networks"

Trapp, Martin

I will give a short introduction on sum-product networks which are flexible deep tractable probabilistic models. Moreover, I'll highlight some recent progress in learning deep tractable models and will showcase some applications for probabilistic modelling.

Related papers:

R. Peharz, A. Vergari, K. Stelzner, A. Molina, X. Shao, M. Trapp, K. Kersting and Z. Ghahramani (2019) Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. To appear in Proceedings of UAI.

M. Trapp, R. Peharz, F. Pernkopf (2019) Optimisation of Overparametrized Sum-Product Networks. ArXiv.

H. Poon and P. Domingos (2011) Sum-Product Networks: A New Deep Architecture. In Proceedings of UAI
https://github.com/arranger1044/awesome-spn

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