Robert Peharz, Ass. Prof. Dipl.-Ing. Dr. techn.
Institute of Machine Learning and Neural Computation
Graz University of Technology
2025
Conference/Workshop Article
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders
AISTATS
Show publication in PURE
2024
Journal Article
Resource-Efficient Neural Networks for Embedded Systems
Show publication in PURE
Conference/Workshop Article
Probabilistic Integral Circuits
Proceedings of Machine Learning Research
2143-2151
Show publication in PURE
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders
ICML SPIGM Workshop
Show publication in PURE
Exact Soft Analytical Side-Channel Attacks using Tractable Circuits
Proceedings of the 41st International Conference on Machine Learning
52472-52483
Show publication in PURE
2023
Conference/Workshop Article
Active Bayesian Causal Inference
Advances in Neural Information Processing Systems
Show publication in PURE
Continuous Mixtures of Tractable Probabilistic Models
Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023
7244-7252
Show publication in PURE
Bayesian Structure Scores for Probabilistic Circuits
International Conference on Artificial Intelligence and Statistics
563-575
Show publication in PURE
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
Conditional sum-product networks
Show publication in PURE
2021
Journal Article
Novel AI driven approach to classify infant motor functions
Show publication in PURE
2020
Conference/Workshop Article
Joints in Random Forests.
Advances in Neural Information Processing Systems 33
Show publication in PURE
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
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
Faster attend-infer-repeat with tractable probabilistic models
36th International Conference on Machine Learning, ICML 2019
Show publication in PURE
Hierarchical decompositional mixtures of variational autoencoders
36th International Conference on Machine Learning, ICML 2019
Show publication in PURE
Minimal random code learning
International Conference on Learning Representations
Show publication in PURE
Automatic Bayesian Density Analysis
Proceedings of The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)
Show publication in PURE
2018
Conference/Workshop Article
Sum-product autoencoding
32nd AAAI Conference on Artificial Intelligence, AAAI 2018
Show publication in PURE
2016
Conference/Workshop Article
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 Machine Learning and Neural Computation
Inffeldgasse 16b/I
8010 Graz
Austria
Phone: +43 316 / 873 - 5814
robert.peharz@tugraz.at