Jan Hendrik Metzen

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Thomas ElskenBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Frank KirchnerProfessor für Robotik, Universität Bremen, DFKIVerified email at dfki.de
Volker FischerBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Yohannes KassahunAUDI AGVerified email at audi.de
Chaithanya Kumar MummadiMachine Learning Research Scientist, Bosch Center for Artificial Intelligence, Robert Bosch LLC, USAVerified email at bosch.com
Elsa Andrea KirchnerUniversity of Duisburg-Essen, head of Medical Technology Systems and DFKI Robotics Innovation CenterVerified email at uni-due.de
Thomas BroxUniversity of Freiburg and AmazonVerified email at cs.uni-freiburg.de
Tim GeneweinDeepMindVerified email at google.com
Bastian BischoffBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Mario Michael KrellUniversity of California Berkeley, ICSIVerified email at berkeley.edu
Robin HutmacherBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Emmanuel Vander PoortenAssoc. Prof. Dept. Mechanical Engineering, KU LeuvenVerified email at kuleuven.be
Alexander FabischDFKI GmbH, Robotics Innovation CenterVerified email at dfki.de
Jose de Gea FernandezYardstick Robotics GmbHVerified email at yardstick-robotics.com
Frank R. SchmidtBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Zico KolterCarnegie Mellon UniversityVerified email at cs.cmu.edu
Stamatia (Matina) GiannarouImperial College LondonVerified email at imperial.ac.uk
Hendrik WöhrleFachhochschule Dortmund, DFKI Robotics Innovation CenterVerified email at dfki.de
Xiaoyi JiangProfessor of Computer Science, University of MünsterVerified email at uni-muenster.de

Jan Hendrik Metzen

Bosch Center for Artificial Intelligence

Verified email at de.bosch.com - Homepage

Robustness of Deep Learning Adversarial Examples Neural Architecture Search


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Neural Architecture Search: A Survey T Elsken, JH Metzen, F Hutter Journal of Machine Learning Research 20 (55), 1-21, 2019	2350	2019
On Detecting Adversarial Perturbations JH Metzen, T Genewein, V Fischer, B Bischoff arXiv preprint arXiv:1702.04267, 2017	956	2017
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T Elsken, JH Metzen, F Hutter	523	2018
Scaling provable adversarial defenses E Wong, F Schmidt, JH Metzen, JZ Kolter Advances in Neural Information Processing Systems 31, 8400-8409, 2018	416	2018
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	285*	2017
Simple And Efficient Architecture Search for Convolutional Neural Networks T Elsken, JH Metzen, F Hutter arXiv preprint arXiv:1711.04528, 2017	253	2017
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, 553-568, 2016	213	2016
Adversarial Examples for Semantic Image Segmentation V Fischer, MC Kumar, JH Metzen, T Brox arXiv preprint arXiv:1703.01101, 2017	114	2017
Meta-Learning of Neural Architectures for Few-Shot Learning T Elsken, B Staffler, JH Metzen, F Hutter Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	109	2020
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	72	2006
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	60	2013
Defending against universal perturbations with shared adversarial training CK Mummadi, T Brox, JH Metzen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	54	2019
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	45	2009
Active contextual policy search A Fabisch, JH Metzen The Journal of Machine Learning Research 15 (1), 3371-3399, 2014	40	2014
Concept of a Data Thread Based Parking Space Occupancy Prediction in a Berlin Pilot Region. T Tiedemann, T Vögele, MM Krell, JH Metzen, F Kirchner AAAI Workshop: AI for Transportation, 2015	39	2015
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	30	2007
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	29	2010
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: 1st …, 2015	27	2015
Incremental learning of skill collections based on intrinsic motivation JH Metzen, F Kirchner Frontiers in neurorobotics 7, 2013	27	2013
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation CK Mummadi, R Hutmacher, K Rambach, E Levinkov, T Brox, JH Metzen arXiv preprint arXiv:2106.14999, 2021	25	2021

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