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Martin Heusel
Martin Heusel
Zalando Research
Dirección de correo verificada de zalando.de - Página principal
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GANs trained by a two time-scale update rule converge to a local Nash equilibrium
M Heusel, H Ramsauer, T Unterthiner, B Nessler, S Hochreiter
Advances in Neural Information Processing Systems, 6626-6637, 2017
145482017
FABIA: factor analysis for bicluster acquisition
S Hochreiter, U Bodenhofer, M Heusel, A Mayr, A Mitterecker, A Kasim, ...
Bioinformatics 26 (12), 1520-1527, 2010
3982010
Speeding up semantic segmentation for autonomous driving
M Treml, J Arjona-Medina, T Unterthiner, R Durgesh, F Friedmann, ...
3532016
Fast model-based protein homology detection without alignment
S Hochreiter, M Heusel, K Obermayer
Bioinformatics 23 (14), 1728-1736, 2007
1872007
Using transcriptomics to guide lead optimization in drug discovery projects: Lessons learned from the QSTAR project
B Verbist, G Klambauer, L Vervoort, W Talloen, Z Shkedy, O Thas, ...
Drug discovery today 20 (5), 505-513, 2015
1112015
Coulomb GANs: Provably optimal Nash equilibria via potential fields
T Unterthiner, B Nessler, C Seward, G Klambauer, M Heusel, ...
arXiv preprint arXiv:1708.08819, 2017
842017
Gans trained by a two time-scale update rule converge to a local nash equilibrium (2017)
M Heusel, H Ramsauer, T Unterthiner, B Nessler, S Hochreiter
arXiv preprint arXiv:1706.08500, 2017
662017
Gans trained by a two time-scale update rule converge to a local nash equilibrium. arXiv 2017
M Heusel, H Ramsauer, T Unterthiner, B Nessler, S Hochreiter
arXiv preprint arXiv:1706.08500, 0
66
ELU-networks: Fast and accurate CNN learning on imagenet
M Heusel, DA Clevert, G Klambauer, A Mayr, K Schwarzbauer, ...
NiN 8, 35-68, 2015
282015
Exploiting the Japanese toxicogenomics project for predictive modelling of drug toxicity
DA Clevert, M Heusel, A Mitterecker, W Talloen, HWH Göhlmann, ...
CAMDA 2012, 26-9, 2012
82012
Generative adversarial networks
M Heusel, H Ramsauer, T Unterthiner, B Nessler, S Hochreiter
Curran Associates, Inc 30, 6626-6637, 2017
32017
FABIA: Factor Analysis for Bicluster Acquisition—supplementary material—
S Hochreiter, U Bodenhofer, M Heusel, A Mayr, A Mitterecker, A Kasim, ...
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Artículos 1–12