Robert Peharz

Identifiers

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Papers (9)

1. Optimisation of Overparametrized Sum-Product Networks cs.LG · 2019 · author #2
2. SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks cs.LG · 2019 · author #4
3. Efficient and Robust Machine Learning for Real-World Systems cs.LG · 2018 · author #8
4. Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters stat.ML · 2018 · author #2
5. Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks cs.LG · 2018 · author #2
6. Automatic Bayesian Density Analysis stat.ML · 2018 · author #3
7. Probabilistic Deep Learning using Random Sum-Product Networks cs.LG · 2018 · author #1
8. Safe Semi-Supervised Learning of Sum-Product Networks stat.ML · 2017 · author #3
9. On the Latent Variable Interpretation in Sum-Product Networks cs.AI · 2016 · author #1

Mentions

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Frequent Coauthors

• Franz Pernkopf 5 shared papers
• Martin Trapp 4 shared papers
• Alejandro Molina 3 shared papers
• Antonio Vergari 3 shared papers
• Kristian Kersting 3 shared papers
• Zoubin Ghahramani 3 shared papers
• Karl Stelzner 2 shared papers
• Carl E. Rasmussen 1 shared papers
• Guenther Schindler 1 shared papers
• Holger Froening 1 shared papers
• Isabel Valera 1 shared papers
• Jos\'e Miguel Hern\'andez-Lobato 1 shared papers
• Lukas Pfeifenberger 1 shared papers
• Marton Havasi 1 shared papers
• Matthew Mattina 1 shared papers
• Matthias Zoehrer 1 shared papers
• Nicola Di Mauro 1 shared papers
• Pascal Poupart 1 shared papers
• Pedro Domingos 1 shared papers
• Pranav Subramani 1 shared papers