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



Books/Book Chapters



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: 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