Robert Peharz, Ass. Prof. Dipl.-Ing. Dr. techn.

Institute of Machine Learning and Neural Computation
Graz University of Technology

Publications

2025
Tagungsbeitrag
Christian Toth, Christian Knoll, Franz Pernkopf and Robert Peharz Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders AISTATS Publikation in PURE anzeigen
2024
Beitrag in Fachzeitschrift
Wolfgang Roth, Günther Schindler, Bernhard Klein, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf and Zoubin Ghaharamani Resource-Efficient Neural Networks for Embedded Systems Publikation in PURE anzeigen
Tagungsbeitrag
Gennaro Gala, Cassio de Campos, Robert Peharz, Antonio Vergari and Erik Quaeghebeur Probabilistic Integral Circuits Proceedings of Machine Learning Research 2143-2151 Publikation in PURE anzeigen
Christian Toth, Christian Knoll, Franz Pernkopf and Robert Peharz Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders ICML SPIGM Workshop Publikation in PURE anzeigen
Thomas Wedenig, Rishub Nagpal, Gaëtan Cassiers, Stefan Mangard and Robert Peharz Exact Soft Analytical Side-Channel Attacks using Tractable Circuits Proceedings of the 41st International Conference on Machine Learning 52472-52483 Publikation in PURE anzeigen
2023
Tagungsbeitrag
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
Yang Yang, Gennaro Gala and Robert Peharz Bayesian Structure Scores for Probabilistic Circuits International Conference on Artificial Intelligence and Statistics 563-575 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
2022
Beitrag in Fachzeitschrift
Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig and Kristian Kersting Conditional sum-product networks Publikation in PURE anzeigen
2021
Beitrag in Fachzeitschrift
Robert Peharz Novel AI driven approach to classify infant motor functions Publikation in PURE anzeigen
2020
Tagungsbeitrag
Alvaro H. C. Correia, Robert Peharz and Cassio P. de Campos Joints in Random Forests. Advances in Neural Information Processing Systems 33 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
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 Publikation in PURE anzeigen
2019
Tagungsbeitrag
Karl Stelzner, Robert Peharz and Kristian Kersting Faster attend-infer-repeat with tractable probabilistic models 36th International Conference on Machine Learning, ICML 2019 Publikation in PURE anzeigen
Ping Liang Tan and Robert Peharz Hierarchical decompositional mixtures of variational autoencoders 36th International Conference on Machine Learning, ICML 2019 Publikation in PURE anzeigen
Marton Havasi, Robert Peharz and José Miguel Hernández-Lobato Minimal random code learning International Conference on Learning Representations Publikation in PURE anzeigen
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) Publikation in PURE anzeigen
2018
Tagungsbeitrag
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 Publikation in PURE anzeigen
2016
Tagungsbeitrag
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 Publikation in PURE anzeigen
Contact
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Ass. Prof. Dipl.-Ing. Dr. techn. Robert Peharz
Institute of Machine Learning and Neural Computation
Inffeldgasse 16b/I
8010 Graz
Austria

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