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Continuous Mixtures of Tractable Probabilistic Models


Sep 21, 2022
Alvaro H. C. Correia, Gennaro Gala, Erik Quaeghebeur, Cassio de Campos, Robert Peharz

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Active Bayesian Causal Inference


Jun 04, 2022
Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen

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* RP & JvK are shared last authors. 10 pages + references + appendices (26 pages total); 6 Figs 

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Joints in Random Forests


Jul 11, 2020
Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos

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Towards Robust Classification with Deep Generative Forests


Jul 11, 2020
Alvaro H. C. Correia, Robert Peharz, Cassio de Campos

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* Presented at the ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning 

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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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Resource-Efficient Neural Networks for Embedded Systems


Jan 07, 2020
Wolfgang Roth, Günther Schindler, Matthias Zöhrer, Lukas Pfeifenberger, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf, Zoubin Ghahramani

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* arXiv admin note: text overlap with arXiv:1812.02240 

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Sum-Product Network Decompilation


Dec 20, 2019
Cory J. Butz, Jhonatan S. Oliveira, Robert Peharz

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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

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

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