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Günther Schindler
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Books and Theses
- 2021
- [b1]Günther Schindler:
Compressing and Mapping Deep Neural Networks on Edge Computing Systems. University of Heidelberg, Germany, 2021
Conference and Workshop Papers
- 2020
- [c8]Markus Huber, Günther Schindler, Christian Schörkhuber, Wolfgang Roth, Franz Pernkopf
, Holger Fröning:
Towards Real-Time Single-Channel Singing-Voice Separation with Pruned Multi-Scaled Densenets. ICASSP 2020: 806-810 - [c7]Wolfgang Roth, Franz Pernkopf
, Günther Schindler, Holger Fröning:
On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks. ICPR 2020: 10297-10304 - [c6]Günther Schindler, Wolfgang Roth, Franz Pernkopf
, Holger Fröning:
Parameterized Structured Pruning for Deep Neural Networks. LOD (2) 2020: 16-27 - [c5]Kevin Stehle, Günther Schindler, Holger Fröning:
On the Difficulty of Designing Processor Arrays for Deep Neural Networks. IoT Streams/ITEM@PKDD/ECML 2020: 229-240 - 2019
- [c4]Wolfgang Roth, Günther Schindler, Holger Fröning, Franz Pernkopf
:
Training Discrete-Valued Neural Networks with Sign Activations Using Weight Distributions. ECML/PKDD (2) 2019: 382-398 - 2018
- [c3]Matthias Zöhrer, Lukas Pfeifenberger, Günther Schindler, Holger Fröning, Franz Pemkopf:
Resource Efficient Deep Eigenvector Beamforming. ICASSP 2018: 3354-3358 - [c2]Günther Schindler, Matthias Zöhrer, Franz Pernkopf
, Holger Fröning:
Towards Efficient Forward Propagation on Resource-Constrained Systems. ECML/PKDD (1) 2018: 426-442 - 2017
- [c1]Günther Schindler, Manfred Mücke
, Holger Fröning:
Linking Application Description with Efficient SIMD Code Generation for Low-Precision Signed-Integer GEMM. Euro-Par Workshops 2017: 688-699
Editorship
- 2021
- [e2]Michael Kamp
, Irena Koprinska
, Adrien Bibal
, Tassadit Bouadi
, Benoît Frénay
, Luis Galárraga
, José Oramas
, Linara Adilova, Yamuna Krishnamurthy
, Bo Kang
, Christine Largeron, Jefrey Lijffijt
, Tiphaine Viard, Pascal Welke
, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele
, Franz Pernkopf
, Michaela Blott
, Holger Fröning
, Günther Schindler, Riccardo Guidotti
, Anna Monreale
, Salvatore Rinzivillo
, Przemyslaw Biecek
, Eirini Ntoutsi
, Mykola Pechenizkiy
, Bodo Rosenhahn
, Christopher L. Buckley
, Daniela Cialfi
, Pablo Lanillos
, Maxwell Ramstead
, Tim Verbelen
, Pedro M. Ferreira
, Giuseppina Andresini
, Donato Malerba
, Ibéria Medeiros
, Philippe Fournier-Viger
, M. Saqib Nawaz
, Sebastián Ventura
, Meng Sun
, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo
, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama
, Ricard Gavaldà
, Lee A. D. Cooper
, Naghmeh Ghazaleh
, Jonas Richiardi
, Damian Roqueiro
, Diego Saldana Miranda
, Konstantinos Sechidis
, Guilherme Graça
:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e1]Michael Kamp
, Irena Koprinska
, Adrien Bibal
, Tassadit Bouadi
, Benoît Frénay
, Luis Galárraga
, José Oramas
, Linara Adilova, Yamuna Krishnamurthy
, Bo Kang
, Christine Largeron, Jefrey Lijffijt
, Tiphaine Viard, Pascal Welke
, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele
, Franz Pernkopf
, Michaela Blott
, Holger Fröning
, Günther Schindler, Riccardo Guidotti
, Anna Monreale
, Salvatore Rinzivillo
, Przemyslaw Biecek
, Eirini Ntoutsi
, Mykola Pechenizkiy
, Bodo Rosenhahn
, Christopher L. Buckley
, Daniela Cialfi
, Pablo Lanillos
, Maxwell Ramstead
, Tim Verbelen
, Pedro M. Ferreira
, Giuseppina Andresini
, Donato Malerba
, Ibéria Medeiros
, Philippe Fournier-Viger
, M. Saqib Nawaz
, Sebastián Ventura
, Meng Sun
, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo
, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama
, Ricard Gavaldà
, Lee A. D. Cooper
, Naghmeh Ghazaleh
, Jonas Richiardi
, Damian Roqueiro
, Diego Saldana Miranda
, Konstantinos Sechidis
, Guilherme Graça
:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents]
Informal and Other Publications
- 2020
- [i6]Wolfgang Roth, Günther Schindler, Matthias Zöhrer, Lukas Pfeifenberger, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf, Zoubin Ghahramani:
Resource-Efficient Neural Networks for Embedded Systems. CoRR abs/2001.03048 (2020) - [i5]Kevin Stehle, Günther Schindler, Holger Fröning:
On the Difficulty of Designing Processor Arrays for Deep Neural Networks. CoRR abs/2006.14008 (2020) - [i4]Lukas Pfeifenberger, Matthias Zöhrer, Günther Schindler, Wolfgang Roth, Holger Fröning, Franz Pernkopf:
Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement. CoRR abs/2007.11477 (2020) - [i3]Wolfgang Roth, Günther Schindler, Holger Fröning, Franz Pernkopf:
On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks. CoRR abs/2010.11773 (2020) - 2019
- [i2]Günther Schindler, Wolfgang Roth, Franz Pernkopf, Holger Fröning:
Parameterized Structured Pruning for Deep Neural Networks. CoRR abs/1906.05180 (2019) - 2018
- [i1]Franz Pernkopf, Wolfgang Roth, Matthias Zöhrer, Lukas Pfeifenberger, Günther Schindler, Holger Fröning, Sebastian Tschiatschek, Robert Peharz, Matthew Mattina, Zoubin Ghahramani:
Efficient and Robust Machine Learning for Real-World Systems. CoRR abs/1812.02240 (2018)
Coauthor Index
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