Hybrid Learning Systems utilizing Sum-Product Networks

Project Information

HYBSPN

Grant agreement ID: 797223

DOI

10.3030/797223

Project closed

EC signature date 9 March 2018

Start date 1 March 2018

End date 31 December 2019

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 179 166,90

EU contribution

€ 179 166,90

Coordinated by

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
United Kingdom

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (7)

Hierarchical Decompositional Mixtures of Variational Autoencoders

Author(s): Ping Liang Tan and Robert Peharz
Published in: Proceedings of the 36th International Conference on Machine Learning (ICML), Issue 36, 2019, Page(s) 6115--6124
Publisher: Proceedings of Machine Learning Research

Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters

Author(s): Havasi, Marton; Peharz, Robert; Hernández-Lobato, José Miguel
Published in: International Conference on Learning Representations, ICLR 2019, Issue 7, 2019, Page(s) --
Publisher: OpenReview.net

Faster Attend-Infer-Repeat with Tractable Probabilistic Models

Author(s): Karl Stelzner, Robert Peharz and Kristian Kersting
Published in: Proceedings of the 36th International Conference on Machine Learning (ICML), Issue 36, 2019, Page(s) 5966--5975
Publisher: Proceedings of Machine Learning Research (PMLR)

Automatic Bayesian Density Analysis

Author(s): Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 33, 2019, Page(s) 5207-5215, ISSN 2374-3468
Publisher: AAAI Press
DOI: 10.1609/aaai.v33i01.33015207

Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

Author(s): Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Xiaoting Shao, Kristian Kersting and Zoubin Ghahramani
Published in: Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, (UAI), Issue 35, 2019, Page(s) --
Publisher: AUAI Press

Bayesian Learning of Sum-Product Networks

Author(s): Martin Trapp, Robert Peharz, Hong Ge, Franz Pernkopf, Zoubin Ghahramani
Published in: Advances in Neural Information Processing Systems, Issue 32, 2019, Page(s) 6344--6355
Publisher: Curran Associates, Inc.

Deep Structured Mixtures of Gaussian Processes

Author(s): Martin Trapp, Robert Peharz, Franz Pernkopf, Carl E. Rasmussen
Published in: Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), Issue 1, 2020, Page(s) accepted, in print
Publisher: Proceedings of Machine Learning Research

Other (4)

SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks

Author(s): Molina, Alejandro; Vergari, Antonio; Stelzner, Karl; Peharz, Robert; Subramani, Pranav; Di Mauro, Nicola; Poupart, Pascal; Kersting, Kristian
Published in: Arxiv preprints, Issue 1, 2018
Publisher: arxiv.org

Efficient and Robust Machine Learning for Real-World Systems

Author(s): Pernkopf, Franz; Roth, Wolfgang; Zoehrer, Matthias; Pfeifenberger, Lukas; Schindler, Guenther; Froening, Holger; Tschiatschek, Sebastian; Peharz, Robert; Mattina, Matthew; Ghahramani, Zoubin
Published in: Arxiv preprints, Issue 1, 2018
Publisher: arxiv.org

Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures

Author(s): Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting
Published in: Arxiv Preprints, 2019
Publisher: arxiv.org

Sum-Product Network Decompilation

Author(s): Cory J. Butz, Jhonatan S. Oliveira, Robert Peharz
Published in: Arxiv preprints, 2019
Publisher: arxiv.org

Peer reviewed articles (1)

Hybrid generative-discriminative training of Gaussian mixture models

Author(s): Wolfgang Roth, Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf
Published in: Pattern Recognition Letters, Issue 112, 2018, Page(s) 131-137, ISSN 0167-8655
Publisher: Elsevier BV
DOI: 10.1016/j.patrec.2018.06.014