Author(s): | Kristina Preuer, Richard P. I. Lewis, Sepp Hochreiter, Andreas Bender, Krishna C Bulusu, Günter Klambauer |
Published: | Bioinformatics, December 2017 doi.org/10.1093/bioinformatics/btx806 |
DeepSynergy: predicting anti-cancer drug synergy with Deep Learning Bioinformatics
Author(s): | Kristina Preuer, Richard P. I. Lewis, Sepp Hochreiter, Andreas Bender, Krishna C Bulusu, Günter Klambauer |
Published: | Bioinformatics, December 2017 doi.org/10.1093/bioinformatics/btx806 |
Learning the High-Dimensional Immunogenomic Features That Predict Public and Private Antibody Repertoires J Immunol
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 |
Rectified factor networks for biclustering of omics data Bioinformatics
Author(s): | Djork-Arné Clevert, Thomas Unterthiner, Gundula Povysil, Sepp Hochreiter |
Published: | Bioinformatics 33(14):i59-i66, 2017 doi.org/10.1093/bioinformatics/btx226 |
panelcn.MOPS: Copy number detection in targeted NGS panel data for clinical diagnostics Human Mutation
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 |
Self-Normalizing Neural Networks NIPS
Author(s): | Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter |
Published: | Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017 |
GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium NIPS
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 |
Robust Learning by Conditional Independence of Hidden Units NIPS
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 |
DeepSynergy: Prediction of synergies of anti-cancer drugs with Deep Learning NIPS
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 |
Convolutional Neural Networks for Subcellular Protein Localization NIPS
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 |
panelcn.MOPS - a mixture of Poissons model for copy number detection NIPS
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 |
HapRFN: Rectified Factor Networks for identifying short IBD segments NIPS
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 |
Position kernels as a key to making sense of very rare and private single-nucleotide variants NIPS
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 |
Machine Learning-Based Risk Profile Classification: A Case Study for Heart Valve Surgery NIPS
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 |
Deep Learning for Prediction of Synergistic Effects of Anti-cancer Drugs NIPS
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 |
Deep Learning Yields Virtual Assays NIPS
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 |
Toxicity Prediction Using Self-normalizing Networks NIPS
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 |
Machine Learning-Based Individualized Prognosis Whitebook Medical Technology
Author(s): | Ulrich Bodenhofer, Jens Meier, Bettina Haslinger-Eisterer |
Published: | Whitebook Medical Technology, ISBN 978-3-200-05215-4, pp. 22-23, 2017 |
GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium arXiv.org
Author(s): | Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Sepp Hochreiter |
Published: | arXiv.org, June 2017 |
Download: | arXiv:1706.08500 |
Self-Normalizing Neural Networks arXiv.org
Author(s): | Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter |
Published: | arXiv.org, June 2017 |
Download: | arXiv:1706.02515 |
Repurposed High-Throughput Images Enable Biological Activity Prediction For Drug Discovery biorxiv.org
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 |
Moment Dynamics in Self-Normalising Neural Networks Master Thesis
Published: | Master Thesis, 2017 |
Author(s): | Pieter-Jan Hoedt |
Analyzing NGS Data with Machine Learning - From IBD Segments to Copy Number Variations PhD Thesis
Published: | PhD Thesis, 2017 |
Author(s): | Gundula Povysil |
Comparison of Rare Variant Association Tests on UK10K Whole Genome Sequencing Data Master Thesis
Published: | Master Thesis, 2017 |
Author(s): | Bellatrix Szantho |
Convolutional LSTM for Next Frame Prediction Master Thesis
Published: | Master Thesis, 2017 |
Author(s): | Thomas Adler |
About gradient based importance weighting in feed-forward artificial neural networks Master Thesis
Published: | Master Thesis, 2017 |
Author(s): | Hubert Ramsauer |