Jan Hendrik Metzen

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Thomas ElskenBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Frank KirchnerProfessor für Robotik, Universität Bremen, DFKIVerified email at dfki.de
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Yohannes KassahunAUDI AGVerified email at audi.de
Elsa Andrea KirchnerUniversity of Bremen, Robotics Lab and DFKI Robotics Innovation Lab, Bremen, GermanyVerified email at informatik.uni-bremen.de
Volker FischerBosch Center for Artificial IntelligenceVerified email at de.bosch.com
Chaithanya Kumar MummadiResearch Engineer, Bosch Cener for Artificial Intelligence, Robert Bosch GmbH, GermanyVerified email at de.bosch.com
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
Alexander FabischDFKI Robotics Innovation CenterVerified email at dfki.de
Emmanuel Vander PoortenAssoc. Prof. Dept. Mechanical Engineering, KU LeuvenVerified email at kuleuven.be
Frank R. SchmidtBosch Center for Artificial IntelligenceVerified email at de.bosch.com
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
Andrea SchenkMember of Management Board, Fraunhofer MEVISVerified email at mevis.fraunhofer.de
Eric WongMITVerified email at mit.edu
Zico KolterCarnegie Mellon UniversityVerified email at cs.cmu.edu

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	987	2019
On Detecting Adversarial Perturbations JH Metzen, T Genewein, V Fischer, B Bischoff arXiv preprint arXiv:1702.04267, 2017	622	2017
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T Elsken, JH Metzen, F Hutter	253	2018
Scaling provable adversarial defenses E Wong, F Schmidt, JH Metzen, JZ Kolter Advances in Neural Information Processing Systems 31, 8400-8409, 2018	252	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	182*	2017
Simple And Efficient Architecture Search for Convolutional Neural Networks T Elsken, JH Metzen, F Hutter arXiv preprint arXiv:1711.04528, 2017	144	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 (4), 553-568, 2016	126	2016
Adversarial Examples for Semantic Image Segmentation V Fischer, MC Kumar, JH Metzen, T Brox arXiv preprint arXiv:1703.01101, 2017	81	2017
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	70	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	55	2013
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	43	2009
Active contextual policy search A Fabisch, JH Metzen The Journal of Machine Learning Research 15 (1), 3371-3399, 2014	34	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	28	2015
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	28	2010
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	26	2007
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	24	2019
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	23	2020
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	22	2014
Incremental learning of skill collections based on intrinsic motivation JH Metzen, F Kirchner Frontiers in neurorobotics 7, 2013	21	2013
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	21	2008

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