Publications

Book Chapters

Franz Pernkopf, Robert Peharz, and Sebastian Tschiatschek,
Introduction to probabilistic graphical models,
Academic Press Library Signal Process, 1, pp. 989-1064, 2014

Journal papers

Peter B. Marschik, Florian Pokorny, Robert Peharz, et al. (23 more authors),
A Novel Way to Measure and Predict Development: A Heuristic Approach to Facilitate the Early Detection of Neurodevelopmental Disorders,
Current Neurology and Neuroscience Reports, 17(5), 43 pages, 2017.
Robert Peharz, Robert Gens, Franz Pernkopf, and Pedro Domingos,
On the latent variable interpretation in sum-product networks,
IEEE Transactions on Pattern Analysis and Machine Intelligence, in press, 2017.
Christa Einspieler, Robert Peharz, and Peter B. Marschik,
Fidgety movements–tiny in appearance, but huge in impact,
Jornal de Pediatria, 92(3), pp. 64-70, 2016.
Matthias Zöhrer, Robert Peharz, and Franz Pernkopf,
Representation learning for single-channel source separation and bandwidth extension,
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 23(12), pp. 2398-2409, 2015.
Robert Peharz and Franz Pernkopf,
Sparse nonnegative matrix factorization with ℓ0-constraints,
Elsevier Neurocomputing, 80, pp. 38-46, 2012.

Conference Papers

Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Floariana Esposito,
Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks,
AAAI, accepted, 2018.
Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, and Robert Trappl,
Safe Semi-Supervised Learning of Sum-Product Networks,
UAI, accepted, 2017.
Florian Pokorny, Robert Peharz, Wolfgang Roth, Matthias Zöhrer, Franz Pernkopf, Peter B. Marschik, and Björn W. Schuller,
Manual versus automated: the challenging routine of infant vocalisation segmentation in home videos to study neuro(mal)development,
Interspeech, pp. 2997–3001, 2016.
Matthias Zöhrer, Robert Peharz, and Franz Pernkopf,
On representation learning for artificial bandwidth extension,
Interspeech, pp. 791–795, 2015.
Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf, and Pedro Domingos,
On theoretical properties of sum-product networks,
AISTATS, pp. 744–752, 2015.
Robert Peharz, Georg Kapeller, Pejman Mowlaee, and Franz Pernkopf,
Modeling speech with sum-product networks: application to bandwidth extension,
ICASSP, pp. 3699–3703, 2014.
Robert Peharz, Bernhard C. Geiger, and Franz Pernkopf,
Greedy part-wise learning of sum-product networks,
ECML/PKDD, pp. 612–627, 2013.
Robert Peharz, Sebastian Tschiatschek, and Franz Pernkopf,
The most generative maximum margin Bayesian networks,
ICML, pp. 235–243, 2013.
Robert Peharz and Franz Pernkopf,
Exact maximum margin structure learning of Bayesian networks,
ICML, pp. 1047–1054, 2012.
Robert Peharz and Franz Pernkopf,
On linear and mixmax interaction models for single channel source separation,
ICASSP, pp. 249–252, 2012.
Robert Peharz, Michael Wohlmayr, and Franz Pernkopf,
Gain-robust multi-pitch tracking using sparse nonnegative matrix factorization,
ICASSP, pp. 5416–5419, 2011.
Michael Wohlmayr, Robert Peharz, and Franz Pernkopf,
Efficient implementation of probabilistic multi-pitch tracking,
ICASSP, pp. 5412–5415, 2011.
Robert Peharz, Michael Stark, and Franz Pernkopf,
A factorial sparse coder model for single channel source separation,
Interspeech, pp. 386–389, 2010.
Robert Peharz, Michael Stark, and Franz Pernkopf,
Sparse nonnegative matrix factorization using ℓ0-constraints,
IEEE MLSP, pp. 83–88, 2010.

Workshop papers

Martin Trapp, Robert Peharz, Marcin Skowron, Tamas Madl, Franz Pernkopf and Robert Trappl,
Structure inference in sum-product networks using infinite sum-product trees,
NIPS Workshop on Practical Bayesian Nonparametrics, 2016.
Robert Peharz, Robert Gens, and Pedro Domingos,
Learning selective sum-product networks,
ICML Workshop on Learning Tractable Probabilistic Models, 2014.
https://sites.google.com/site/ltpm2014/