Publications

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Journals | Conferences | Books/Book Chapters | Publications (non-peer-reviewed) | Theses

Journals

Title: Learning the High-Dimensional Immunogenomic Features That Predict Public and Private Antibody Repertoires
Author(s): Victor Greiff, Cédric R. Weber, Johannes Palme, Ulrich Bodenhofer, Enkelejda Miho, Ulrike Menzel, Sai T. Reddy
Published: J Immunol September 18, 2017 doi.org/10.4049/jimmunol.1700594
 
Title: Rectified factor networks for biclustering of omics data
Author(s): Djork-Arné Clevert, Thomas Unterthiner, Gundula Povysil, Sepp Hochreiter
Published: Bioinformatics 33(14):i59-i66, 2017 doi.org/10.1093/bioinformatics/btx226
 
Title: panelcn.MOPS: Copy number detection in targeted NGS panel data for clinical diagnostics
Author(s): Gundula Povysil, Antigoni Tzika, Julia Vogt, Verena Haunschmid, Ludwine Messiaen, Johannes Zschocke, Günter Klambauer, Sepp Hochreiter, Katharina Wimmer
Published: Human Mutation, 38(7):889-897, 2017 doi:10.1002/humu.23237
 



Conferences

Title: Self-Normalizing Neural Networks
Author(s): Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
Published: Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017, accepted
 
Title: GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium
Author(s): Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Sepp Hochreiter
Published: Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017, accepted
 
Title: Robust Learning by Conditional Independence of Hidden Units
Author(s): Karin Schwarzbauer, Markus Hofmarcher, Thomas Adler, Sepp Hochreiter
Published: Women in Machine Learning Workshop, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017
Downdload: -
 
Title: DeepSynergy: Prediction of synergies of anti-cancer drugs with Deep Learning
Author(s): Kristina Preuer, Richard P.I. Lewis, Sepp Hochreiter, Andreas Bender, Krishna C. Bulusu, Günter Klambauer
Published: Women in Machine Learning Workshop, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017
Downdload: -
 
Title: Convolutional Neural Networks for Subcellular Protein Localization
Author(s): Elisabeth Rumetshofer, Markus Hofmarcher, Sepp Hochreiter, Günter Klambauer
Published: Women in Machine Learning Workshop, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017
Downdload: -
 
Title: panelcn.MOPS - a mixture of Poissons model for copy number detection
Author(s): Gundula Povysil, Günter Klambauer, Katharina Wimmer, Sepp Hochreiter
Published: Women in Machine Learning Workshop, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017
Downdload: -
 
Title: HapRFN: Rectified Factor Networks for identifying short IBD segments
Author(s): Gundula Povysil, Djork-Arné Clevert, Sepp Hochreiter
Published: Workshop on Machine Learning in Computational Biology, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017
Downdload: -
 
Title: Position kernels as a key to making sense of very rare and private single-nucleotide variants
Author(s): Ulrich Bodenhofer, Sepp Hochreiter
Published: Workshop on Machine Learning in Computational Biology, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017
Downdload: -
 
Title: Machine Learning-Based Risk Profile Classification: A Case Study for Heart Valve Surgery
Author(s): Ulrich Bodenhofer, Bettina Haslinger-Eisterer, Alexander Minichmayer, Georg Hermanutz, Jens Meier
Published: Workshop on Machine Learning for Health, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017
Downdload: -
 
Title: Deep Learning for Prediction of Synergistic Effects of Anti-cancer Drugs
Author(s): Kristina Preuer, Richard P.I. Lewis, Sepp Hochreiter, Andreas Bender, Krishna C. Bulusu, Günter Klambauer
Published: Workshop on Machine Learning for Molecules and Materials, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017
Downdload: -
 
Title: Deep Learning Yields Virtual Assays
Author(s): Thomas Unterthiner, Günter Klambauer, Andreas Mayr, Sepp Hochreiter
Published: Workshop on Machine Learning for Molecules and Materials, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017
Downdload: -
 
Title: Toxicity Prediction Using Self-normalizing Networks
Author(s): Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
Published: Workshop on Machine Learning for Molecules and Materials, Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017
Downdload: -
 



Books/Book Chapters

Title: Machine Learning-Based Individualized Prognosis
Author(s): Ulrich Bodenhofer, Jens Meier, Bettina Haslinger-Eisterer
Published: Whitebook Medical Technology, ISBN 978-3-200-05215-4, pp. 22-23, 2017
 



Publications (non-peer-reviewed)

Title: GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium
Author(s): Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Sepp Hochreiter
Published: arXiv.org, June 2017
Download: arXiv:1706.08500
 
Title: Self-Normalizing Neural Networks
Author(s): Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
Published: arXiv.org, June 2017
Download: arXiv:1706.02515
 
Title: Repurposed High-Throughput Images Enable Biological Activity Prediction For Drug Discovery
Author(s): Jaak Simm, Guenter Klambauer, Adam Arany, Marvin Steijaert, Joerg Kurt Wegner, Emmanuel Gustin, Vladimir Chupakhin, Yolanda T. Chong, Jorge Vialard, Peter Buijnsters, Ingrid Velter, Alexander Vapirev, Shantanu Singh, Anne Carpenter, Roel Wuyts, Sepp Hochreiter, Yves Moreau, Hugo Ceulemans
Published: biorxiv.org, March 2017
Download: doi:10.1101/108399
 



Theses

Title: Moment Dynamics in Self-Normalising Neural Networks
Published: Master Thesis, 2017
Author(s): Pieter-Jan Hoedt
 
Title: Analyzing NGS Data with Machine Learning - From IBD Segments to Copy Number Variations
Published: PhD Thesis, 2017
Author(s): Gundula Povysil
 
Title: Comparison of Rare Variant Association Tests on UK10K Whole Genome Sequencing Data
Published: Master Thesis, 2017
Author(s): Bellatrix Szantho
 
Title: Convolutional LSTM for Next Frame Prediction
Published: Master Thesis, 2017
Author(s): Thomas Adler
 
Title: About gradient based importance weighting in feed-forward artificial neural networks
Published: Master Thesis, 2017
Author(s): Hubert Ramsauer