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Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations

May 04, 2020
Tomas Pevny, Vasek Smidl, Martin Trapp, Ondrej Polacek, Tomas Oberhuber


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Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits

Apr 13, 2020
Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting, Zoubin Ghahramani


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DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models

Feb 07, 2020
Mohamed Tarek, Kai Xu, Martin Trapp, Hong Ge, Zoubin Ghahramani


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Deep Structured Mixtures of Gaussian Processes

Oct 10, 2019
Martin Trapp, Robert Peharz, Franz Pernkopf, Carl E. Rasmussen


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Optimisation of Overparametrized Sum-Product Networks

May 29, 2019
Martin Trapp, Robert Peharz, Franz Pernkopf

* Workshop on Tractable Probabilistic Models (TPM) at ICML 2019 

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Bayesian Learning of Sum-Product Networks

May 26, 2019
Martin Trapp, Robert Peharz, Hong Ge, Franz Pernkopf, Zoubin Ghahramani


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Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks

Sep 12, 2018
Martin Trapp, Robert Peharz, Carl E. Rasmussen, Franz Pernkopf

* Presented at the Workshop on Tractable Probabilistic Models (TPM 2018), ICML 2018 

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Probabilistic Deep Learning using Random Sum-Product Networks

Jun 22, 2018
Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Kristian Kersting, Zoubin Ghahramani


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Safe Semi-Supervised Learning of Sum-Product Networks

Oct 10, 2017
Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl

* Conference on Uncertainty in Artificial Intelligence (UAI), 2017 

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