Robert Peharz
Technische Universiteit Eindhoven
H-index: 25
Europe-Netherlands
Top articles of Robert Peharz
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Resource-efficient neural networks for embedded systems | Journal of Machine Learning Research | Wolfgang Roth Günther Schindler Bernhard Klein Robert Peharz Sebastian Tschiatschek | 2024 |
Probabilistic integral circuits | Gennaro Gala Cassio de Campos Robert Peharz Antonio Vergari Erik Quaeghebeur | 2024/4/18 | |
Rao-Blackwellising Bayesian Causal Inference | arXiv preprint arXiv:2402.14781 | Christian Toth Christian Knoll Franz Pernkopf Robert Peharz | 2024/2/22 |
How to Turn Your Knowledge Graph Embeddings into Generative Models | Advances in Neural Information Processing Systems | Lorenzo Loconte Nicola Di Mauro Robert Peharz Antonio Vergari | 2024/2/13 |
Continuous mixtures of tractable probabilistic models | Proceedings of the AAAI Conference on Artificial Intelligence | Alvaro HC Correia Gennaro Gala Erik Quaeghebeur Cassio de Campos Robert Peharz | 2023/6/26 |
Bayesian structure scores for probabilistic circuits | Yang Yang Gennaro Gala Robert Peharz | 2023/4/11 | |
Your Knowledge Graph Embeddings are Secretly Circuits and You Should Treat Them as Such | Lorenzo Loconte Nicola Di Mauro Robert Peharz Antonio Vergari | 2022 | |
Motion Tracking of a Swimmer | ACE Husson RM Pires da Silva Castro R Peharz B Elevelt L Swaenen | 2022/3/10 | |
Elevating Perceptual Sample Quality in Probabilistic Circuits through Differentiable Sampling | Steven Lang Martin Mundt Fabrizio Ventola Robert Peharz Kristian Kersting | 2022 | |
Conditional sum-product networks: Modular probabilistic circuits via gate functions | International Journal of Approximate Reasoning | Xiaoting Shao Alejandro Molina Antonio Vergari Karl Stelzner Robert Peharz | 2022/1/1 |
Active bayesian causal inference | Advances in Neural Information Processing Systems | Christian Toth Lars Lorch Christian Knoll Andreas Krause Franz Pernkopf | 2022/12/6 |
Elevating perceptual sample quality in PCs through differentiable sampling | Steven Lang Martin Mundt Fabrizio Ventola Robert Peharz Kristian Kersting | 2022/10/5 | |
PS3: Partition-based skew-specialized sampling for batch mode active learning in imbalanced text data | Ricky Maulana Fajri Samaneh Khoshrou Robert Peharz Mykola Pechenizkiy | 2021 | |
Exact and Efficient Adversarial Robustness with Decomposable Neural Networks | Pranav Shankar Subramani Antonio Vergari Gautam Kamath Robert Peharz | 2021/6/11 | |
Novel AI driven approach to classify infant motor functions | Scientific Reports | Simon Reich Dajie Zhang Tomas Kulvicius Sven Bölte Karin Nielsen-Saines | 2021/5/10 |
Deep structured mixtures of gaussian processes | Martin Trapp Robert Peharz Franz Pernkopf Carl E Rasmussen | 2020 | |
Sum-product network decompilation | Cory Butz Jhonatan S Oliveira Robert Peharz | 2020/2/2 | |
Einsum networks: Fast and scalable learning of tractable probabilistic circuits | Robert Peharz Steven Lang Antonio Vergari Karl Stelzner Alejandro Molina | 2020/11/21 | |
Conditional sum-product networks: Imposing structure on deep probabilistic architectures | Xiaoting Shao Alejandro Molina Antonio Vergari Karl Stelzner Robert Peharz | 2020/2/2 | |
Random sum-product networks: A simple and effective approach to probabilistic deep learning | Robert Peharz Antonio Vergari Karl Stelzner Alejandro Molina Xiaoting Shao | 2020/8/6 |
Co-Authors
