Jan Hendrik Metzen
Jan Hendrik Metzen
Bosch Center for Artificial Intelligence
Bestätigte E-Mail-Adresse bei de.bosch.com - Startseite
TitelZitiert vonJahr
On Detecting Adversarial Perturbations
JH Metzen, T Genewein, V Fischer, B Bischoff
arXiv preprint arXiv:1702.04267, 2017
2272017
Rokkatan: scaling an RTS game design to the massively multiplayer realm
J Müller, JH Metzen, A Ploss, M Schellmann, S Gorlatch
Computers in Entertainment (CIE) 4 (3), 125 - 132, 2006
702006
Scaling provable adversarial defenses
E Wong, F Schmidt, JH Metzen, JZ Kolter
Advances in Neural Information Processing Systems, 8400-8409, 2018
672018
Neural Architecture Search: A Survey
T Elsken, JH Metzen, F Hutter
Journal of Machine Learning Research 20 (55), 1-21, 2019
622019
Simple And Efficient Architecture Search for Convolutional Neural Networks
T Elsken, JH Metzen, F Hutter
arXiv preprint arXiv:1711.04528, 2017
482017
Universal adversarial perturbations against semantic image segmentation
JH Metzen, MC Kumar, T Brox, V Fischer
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
452017
Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions
Y Kassahun, B Yu, AT Tibebu, D Stoyanov, S Giannarou, JH Metzen, ...
International journal of computer assisted radiology and surgery 11 (4), 553-568, 2016
422016
pySPACE—a signal processing and classification environment in Python
MM Krell, S Straube, A Seeland, H Wöhrle, J Teiwes, JH Metzen, ...
Frontiers in neuroinformatics 7, 40, 2013
382013
Matching of anatomical tree structures for registration of medical images
JH Metzen, T Kröger, A Schenk, S Zidowitz, HO Peitgen, X Jiang
Image and Vision Computing 27 (7), 923-933, 2009
362009
Adversarial Examples for Semantic Image Segmentation
V Fischer, MC Kumar, JH Metzen, T Brox
arXiv preprint arXiv:1703.01101, 2017
312017
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T Elsken, JH Metzen, F Hutter
28*2018
Analysis of an evolutionary reinforcement learning method in a multiagent domain
JH Metzen, M Edgington, Y Kassahun, F Kirchner
Proceedings of the 7th international joint conference on Autonomous agents …, 2008
202008
A common genetic encoding for both direct and indirect encodings of networks
Y Kassahun, M Edgington, JH Metzen, G Sommer, F Kirchner
Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007
202007
Towards operator monitoring via brain reading-an EEG-based approach for space applications
EA Kirchner, H Wöhrle, C Bergatt, SK Kim, JH Metzen, D Feess, ...
Proceedings of the 10th international symposium on artificial intelligence …, 2010
192010
Active contextual policy search
A Fabisch, JH Metzen
The Journal of Machine Learning Research 15 (1), 3371-3399, 2014
172014
Minimizing calibration time for brain reading
JH Metzen, SK Kim, EA Kirchner
Joint Pattern Recognition Symposium, 366-375, 2011
172011
Towards Learning of Generic Skills for Robotic Manipulation
JH Metzen, A Fabisch, L Senger, J de Gea Fernández, EA Kirchner
KI-Künstliche Intelligenz 28 (1), 15-20, 2014
162014
Matching of tree structures for registration of medical images
JH Metzen, T Kröger, A Schenk, S Zidowitz, HO Peitgen, X Jiang
International Workshop on Graph-Based Representations in Pattern Recognition …, 2007
152007
Intuitive Interaction with Robots–Technical Approaches and Challenges
EA Kirchner, J de Gea Fernandez, P Kampmann, M Schröer, JH Metzen, ...
Formal Modeling and Verification of Cyber-Physical Systems, 224-248, 2015
132015
Comparison of Sensor Selection Mechanisms for an ERP-Based Brain-Computer Interface
D Feess, MM Krell, JH Metzen
PLOS ONE 8 (7), e67543, 2013
132013
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