| Title: |
Self-Normalizing Neural Networks |
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| Author(s): |
Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter
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| Published: |
Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017
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| Title: |
GANs Trained by a Two Time-Scale Update Rule Converge to a Nash Equilibrium |
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| Author(s): |
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Günter Klambauer, Sepp Hochreiter
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| Published: |
Conference Neural Information Processing Systems Foundation (NIPS 2017), December 4-9, 2017
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| Title: |
Robust Learning by Conditional Independence of Hidden Units |
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| 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: |
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| Title: |
DeepSynergy: Prediction of synergies of anti-cancer drugs with Deep Learning |
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| 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 |
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| Title: |
Convolutional Neural Networks for Subcellular Protein Localization |
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| 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: |
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| Title: |
panelcn.MOPS - a mixture of Poissons model for copy number detection |
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| 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: |
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| Title: |
HapRFN: Rectified Factor Networks for identifying short IBD segments |
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| 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 |
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| Title: |
Position kernels as a key to making sense of very rare and private single-nucleotide variants |
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| 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 |
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| Title: |
Machine Learning-Based Risk Profile Classification: A Case Study for Heart Valve Surgery |
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| 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 |
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| Title: |
Deep Learning for Prediction of Synergistic Effects of Anti-cancer Drugs |
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| 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: |
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| Title: |
Deep Learning Yields Virtual Assays |
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| 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 |
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| Title: |
Toxicity Prediction Using Self-normalizing Networks |
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| 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 |
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