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Franz Pernkopf

Graz University of Technology

Resource-efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization

Dec 18, 2020
David Peter, Wolfgang Roth, Franz Pernkopf


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Deep Interference Mitigation and Denoising of Real-World FMCW Radar Signals

Dec 04, 2020
Johanna Rock, Mate Toth, Paul Meissner, Franz Pernkopf

* 2020 IEEE International Radar Conference (RADAR) 

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Quantized Neural Networks for Radar Interference Mitigation

Dec 01, 2020
Johanna Rock, Wolfgang Roth, Paul Meissner, Franz Pernkopf

* ITEM Workshop at ECML-PKDD 2020 

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On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks

Oct 22, 2020
Wolfgang Roth, GĂŒnther Schindler, Holger Fröning, Franz Pernkopf

* Accepted at ICPR 2020 

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Differentiable TAN Structure Learning for Bayesian Network Classifiers

Aug 21, 2020
Wolfgang Roth, Franz Pernkopf

* Accepted at PGM 2020 

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Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement

Jul 22, 2020
Lukas Pfeifenberger, Matthias Zöhrer, GĂŒnther Schindler, Wolfgang Roth, Holger Fröning, Franz Pernkopf


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Wasserstein Routed Capsule Networks

Jul 22, 2020
Alexander Fuchs, Franz Pernkopf

* 8 pages, 3 figures 

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Resource-Efficient Neural Networks for Embedded Systems

Jan 07, 2020
Wolfgang Roth, GĂŒnther Schindler, Matthias Zöhrer, Lukas Pfeifenberger, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf, Zoubin Ghahramani

* arXiv admin note: text overlap with arXiv:1812.02240 

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Deep Structured Mixtures of Gaussian Processes

Oct 10, 2019
Martin Trapp, Robert Peharz, Franz Pernkopf, Carl E. Rasmussen


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Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning (Full Version)

Jul 10, 2019
Bernhard K. Aichernig, Roderick Bloem, Masoud Ebrahimi, Martin Horn, Franz Pernkopf, Wolfgang Roth, Astrid Rupp, Martin Tappler, Markus Tranninger

* This is an extended version of the conference paper "Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning" accepted for presentation at IFIP-ICTSS 2019, the 31st International Conference on Testing Software and Systems in Paris, France 

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Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural Networks

Jun 25, 2019
Johanna Rock, Mate Toth, Elmar Messner, Paul Meissner, Franz Pernkopf

* FUSION 2019; 8 pages 

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Parameterized Structured Pruning for Deep Neural Networks

Jun 12, 2019
Guenther Schindler, Wolfgang Roth, Franz Pernkopf, Holger Froening


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Optimisation of Overparametrized Sum-Product Networks

May 29, 2019
Martin Trapp, Robert Peharz, Franz Pernkopf

* Workshop on Tractable Probabilistic Models (TPM) at ICML 2019 

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Bayesian Learning of Sum-Product Networks

May 26, 2019
Martin Trapp, Robert Peharz, Hong Ge, Franz Pernkopf, Zoubin Ghahramani


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Efficient and Robust Machine Learning for Real-World Systems

Dec 05, 2018
Franz Pernkopf, Wolfgang Roth, Matthias Zoehrer, Lukas Pfeifenberger, Guenther Schindler, Holger Froening, Sebastian Tschiatschek, Robert Peharz, Matthew Mattina, Zoubin Ghahramani


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Self-Guided Belief Propagation -- A Homotopy Continuation Method

Dec 04, 2018
Christian Knoll, Florian Kulmer, Franz Pernkopf

* his work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks

Sep 12, 2018
Martin Trapp, Robert Peharz, Carl E. Rasmussen, Franz Pernkopf

* Presented at the Workshop on Tractable Probabilistic Models (TPM 2018), ICML 2018 

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Sum-Product Networks for Sequence Labeling

Jul 06, 2018
Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf


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Automatic Clustering of a Network Protocol with Weakly-Supervised Clustering

Jun 04, 2018
Tobias Schrank, Franz Pernkopf


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Safe Semi-Supervised Learning of Sum-Product Networks

Oct 10, 2017
Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl

* Conference on Uncertainty in Artificial Intelligence (UAI), 2017 

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Fixed Points of Belief Propagation -- An Analysis via Polynomial Homotopy Continuation

May 30, 2017
Christian Knoll, Franz Pernkopf, Dhagash Mehta, Tianran Chen


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On the Latent Variable Interpretation in Sum-Product Networks

Oct 28, 2016
Robert Peharz, Robert Gens, Franz Pernkopf, Pedro Domingos

* Revised version, accepted for publication in IEEE Transactions on Machine Intelligence and Pattern Analysis (TPAMI). Shortened and revised Section 4: Thanks to our reviewers, pointing out that Theorem 2 holds for selective SPNs. Added paragraph in Section 2.1, relating sizes of original/augmented SPNs. Fixed typos, rephrased sentences, revised references 

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Exact Maximum Margin Structure Learning of Bayesian Networks

Jun 27, 2012
Robert Peharz, Franz Pernkopf

* ICML 

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