Martin Heusel

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Sepp HochreiterInstitute for Machine Learning, Johannes Kepler University LinzVerified email at ml.jku.at
Thomas UnterthinerGoogle Research (Brain Team)Verified email at pm.me
Bernhard NesslerSCCH GmbH & Johannes Kepler University Linz, AustriaVerified email at scch.at
Günter KlambauerTT Professor, LIT AI Lab & Institute for Machine Learning, Johannes Kepler UniversityVerified email at bioinf.jku.at
Hinrich WH GöhlmannScientific Director at Johnson & JohnsonVerified email at its.jnj.com
Willem TalloenDirector, Janssen Pharmaceutcials groupVerified email at its.jnj.com
Djork-Arné ClevertBayer, Director, Machine Learning ResearchVerified email at bayer.com
Ziv SHKEDYProfessor for bioinformatics/biostatosticsVerified email at uhasselt.be
Andreas MittereckerVerified email at ml.jku.at
Luc BijnensJanssen (J&J), University Hasselt, BelgiumVerified email at UHasselt.be
Ulrich BodenhoferProfessor for Artificial Intelligence, University of Applied Sciences Upper AustriaVerified email at fh-hagenberg.at
Andreas BenderProfessor for Molecular Informatics in CambridgeVerified email at cam.ac.uk
Jörg Kurt WegnerPrincipal Scientist and Team Leader AI Design Team, Janssen Pharmaceutica NVVerified email at its.jnj.com

Martin Heusel

Zalando Research

Verified email at zalando.de - Homepage

Machine Learning Neural Networks Generative Neural Networks


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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	5224	2017
Gans trained by a two time-scale update rule converge to a nash equilibrium M Heusel, H Ramsauer, T Unterthiner, B Nessler, G Klambauer, ... arXiv preprint arXiv:1706.08500 12 (1), 2017	347	2017
FABIA: factor analysis for bicluster acquisition S Hochreiter, U Bodenhofer, M Heusel, A Mayr, A Mitterecker, A Kasim, ... Bioinformatics 26 (12), 1520-1527, 2010	336	2010
Speeding up semantic segmentation for autonomous driving M Treml, J Arjona-Medina, T Unterthiner, R Durgesh, F Friedmann, ...	241	2016
Fast model-based protein homology detection without alignment S Hochreiter, M Heusel, K Obermayer Bioinformatics 23 (14), 1728-1736, 2007	154	2007
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	88	2015
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	58	2017
ELU-networks: fast and accurate CNN learning on imagenet M Heusel, DA Clevert, G Klambauer, A Mayr, K Schwarzbauer, ... NiN 8, 35-68, 2015	18	2015
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	8	2012
Generative adversarial networks M Heusel, H Ramsauer, T Unterthiner, B Nessler, S Hochreiter Curran Associates, Inc 30, 6626-6637, 2017	3	2017
Remote Homology detection with LSTM M Heusel		2007
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields Download PDF TU Thomas, B Nessler, CS Calvin, G Klambauer, M Heusel, H Ramsauer, ...
FABIA: Factor Analysis for Bicluster Acquisition—supplementary material— S Hochreiter, U Bodenhofer, M Heusel, A Mayr, A Mitterecker, A Kasim, ...

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