Publications

2024

Journal Article

Wolfgang Roth, Günther Schindler, Bernhard Klein, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf and Zoubin Ghaharamani Resource-Efficient Neural Networks for Embedded Systems Show publication in PURE

Conference/Workshop Article

Gennaro Gala, Cassio de Campos, Robert Peharz, Antonio Vergari and Erik Quaeghebeur Probabilistic Integral Circuits Proceedings of Machine Learning Research 2143-2151 Show publication in PURE

2023

Conference/Workshop Article

Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz and Julius von Kügelgen Active Bayesian Causal Inference Advances in Neural Information Processing Systems Show publication in PURE

Alvaro H.C. Correia, Gennaro Gala, Erik Quaeghebeur, Cassio de Campos and Robert Peharz Continuous Mixtures of Tractable Probabilistic Models Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023 7244-7252 Show publication in PURE

Yang Yang, Gennaro Gala and Robert Peharz Bayesian Structure Scores for Probabilistic Circuits International Conference on Artificial Intelligence and Statistics 563-575 Show publication in PURE

Lorenzo Loconte, Nicola Di Mauro, Robert Peharz and Antonio Vergari How to Turn Your Knowledge Graph Embeddings into Generative Models via Probabilistic Circuits Advances in Neural Information Processing Systems 2023 Show publication in PURE

2022

Journal Article

Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig and Kristian Kersting Conditional sum-product networks Show publication in PURE

2021

Journal Article

Robert Peharz Novel AI driven approach to classify infant motor functions Show publication in PURE

2020

Conference/Workshop Article

Alvaro H. C. Correia, Robert Peharz and Cassio P. de Campos Joints in Random Forests. Advances in Neural Information Processing Systems 33 Show publication in PURE

Ricky Maulana Fajri, Samaneh Khoshrou, Robert Peharz and Mykola Pechenizkiy PS3: Partition-Based Skew-Specialized Sampling for Batch Mode Active Learning in Imbalanced Text Data. ECML PKDD 2020. Lecture Notes in Computer Science. 68-84 Show publication in PURE

Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting and Zoubin Ghahramani Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. International Conference on Machine Learning, PMLR 119 7563-7574 Show publication in PURE

2019

Conference/Workshop Article

Karl Stelzner, Robert Peharz and Kristian Kersting Faster attend-infer-repeat with tractable probabilistic models 36th International Conference on Machine Learning, ICML 2019 Show publication in PURE

Ping Liang Tan and Robert Peharz Hierarchical decompositional mixtures of variational autoencoders 36th International Conference on Machine Learning, ICML 2019 Show publication in PURE

Marton Havasi, Robert Peharz and José Miguel Hernández-Lobato Minimal random code learning International Conference on Learning Representations Show publication in PURE

Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting and Isabel Valera Automatic Bayesian Density Analysis Proceedings of The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) Show publication in PURE

2018

Conference/Workshop Article

Antonio Vergari, Alejandro Molina, Robert Peharz, Kristian Kersting, Nicola Di Mauro and Floriana Esposito Sum-product autoencoding 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 Show publication in PURE

2016

Conference/Workshop Article

F.B. Pokorny, B. W. Schuller, Robert Peharz, Franz Pernkopf, K.D. Bartl-Pokorny, C. Einspieler and P.B. Marschik Contributing to the early identification of neurodevelopmental disorders: The retrospective analysis of pre-linguistic vocalisations in home video material Congreso Internacional Psicologia Clinica Show publication in PURE

Contact

Ass. Prof. Dipl.-Ing. Dr. techn. Robert Peharz
Institute of Theoretical Computer Science
Inffeldgasse 16b/I
8010 Graz
Austria

Phone: +43 316 / 873 - 5814
robert.peharznoSpam@tugraz.at