Jan Hendrik Metzen

91 papers A* 11A 7B 1C 1Misc 2Journal 51Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Family of LLMs Liberated from Static Vocabularies. CoRR Adnen Abdessaied, Artur Baranowski, Lukas Balles, Michael Barlow, Fabien C. Y. Benureau, Felix Berkenkamp, Lukas Bluebaum, Bastian Boll, Thomas F. Burns, Björn Deiseroth, Constantin Eichenberg, David Friede, Pablo Iyu Guerrero, Ahmed Hammam, Bastian Harren, Johann Higl, Yasser Jadidi, Carina Kauf, Johannes Messner, Jan Hendrik Metzen, Max Meuer, Vedant Nanda, Pit Neitemeier, Koen Oostermeijer, Letitia Parcalabescu, Markus Pernpointner, Felix Reinfurt, Dylan Rodriquez, Grégory Schott, Philipp Siedler, Martin Simonovsky, Till Speicher, Volker Stampa, Stephan Wäldchen, Samuel Weinbach, Gregor Ziegltrum
2026	J	`jnl`	Depth-Recurrent Attention Mixtures: Giving Latent Reasoning the Attention it Deserves. CoRR Jonas Knupp, Jan Hendrik Metzen, Jeremias Bohn, Georg Groh, Kristian Kersting
2026	J	`jnl`	SOMBRERO: Measuring and Steering Boundary Placement in End-to-End Hierarchical Sequence Models. CoRR Pit Neitemeier, Alessio Serra, Jiaze Li, Sascha Wirges, Lukas Balles, Jan Hendrik Metzen
2025	J	`jnl`	Training-free diffusion for controlling illumination conditions in images. Comput. Vis. Image Underst. Xiaoyan Xing, Vincent Tao Hu, Jan Hendrik Metzen, Konrad Groh, Sezer Karaoglu, Theo Gevers
2024	J	`jnl`	AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models. Trans. Mach. Learn. Res. Jan Hendrik Metzen, Piyapat Saranrittichai, Chaithanya Kumar Mummadi
2024	J	`jnl`	Feature Distillation Improves Zero-Shot Transfer from Synthetic Images. Trans. Mach. Learn. Res. Niclas Popp, Jan Hendrik Metzen, Matthias Hein
2024	J	`jnl`	Identification of Fine-grained Systematic Errors via Controlled Scene Generation. CoRR Valentyn Boreiko, Matthias Hein, Jan Hendrik Metzen
2024	—	`conf`	Label-Free Neural Semantic Image Synthesis. ECCV (53) Jiayi Wang, Kevin Alexander Laube, Yumeng Li, Jan Hendrik Metzen, Shin-I Cheng, Julio Borges, Anna Khoreva
2024	J	`jnl`	Label-free Neural Semantic Image Synthesis. CoRR Jiayi Wang, Kevin Alexander Laube, Yumeng Li, Jan Hendrik Metzen, Shin-I Cheng, Julio Borges, Anna Khoreva
2024	J	`jnl`	Object-Focused Data Selection for Dense Prediction Tasks. CoRR Niclas Popp, Dan Zhang, Jan Hendrik Metzen, Matthias Hein, Lukas Schott
2024	J	`jnl`	Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory. CoRR Xiaoyan Xing, Vincent Tao Hu, Jan Hendrik Metzen, Konrad Groh, Sezer Karaoglu, Theo Gevers
2024	A	`conf`	SciOL and MuLMS-Img: Introducing A Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain. WACV Tim Tarsi, Heike Adel, Jan Hendrik Metzen, Dan Zhang, Matteo Finco, Annemarie Friedrich
2024	J	`jnl`	Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data. CoRR Niclas Popp, Jan Hendrik Metzen, Matthias Hein
2023	J	`jnl`	AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models. CoRR Jan Hendrik Metzen, Piyapat Saranrittichai, Chaithanya Kumar Mummadi
2023	A*	`conf`	Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation. ICLR Maksym Yatsura, Kaspar Sakmann, N. Grace Hua, Matthias Hein, Jan Hendrik Metzen
2023	A*	`conf`	Identification of Systematic Errors of Image Classifiers on Rare Subgroups. ICCV Jan Hendrik Metzen, Robin Hutmacher, N. Grace Hua, Valentyn Boreiko, Dan Zhang
2023	J	`jnl`	Identification of Systematic Errors of Image Classifiers on Rare Subgroups. CoRR Jan Hendrik Metzen, Robin Hutmacher, N. Grace Hua, Valentyn Boreiko, Dan Zhang
2023	—	`conf`	Identifying Systematic Errors in Object Detectors with the SCROD Pipeline. ICCV (Workshops) Valentyn Boreiko, Matthias Hein, Jan Hendrik Metzen
2023	J	`jnl`	Identifying Systematic Errors in Object Detectors with the SCROD Pipeline. CoRR Valentyn Boreiko, Matthias Hein, Jan Hendrik Metzen
2023	J	`jnl`	Neural Architecture Search for Dense Prediction Tasks in Computer Vision. Int. J. Comput. Vis. Rohit Mohan, Thomas Elsken, Arber Zela, Jan Hendrik Metzen, Benedikt Staffler, Thomas Brox, Abhinav Valada, Frank Hutter
2022	J	`jnl`	Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation. CoRR Maksym Yatsura, Kaspar Sakmann, N. Grace Hua, Matthias Hein, Jan Hendrik Metzen
2022	A*	`conf`	Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness. CVPR Giulio Lovisotto, Nicole Finnie, Mauricio Munoz, Chaithanya Kumar Mummadi, Jan Hendrik Metzen
2022	J	`jnl`	Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness. CoRR Giulio Lovisotto, Nicole Finnie, Mauricio Munoz, Chaithanya Kumar Mummadi, Jan Hendrik Metzen
2022	J	`jnl`	Neural Architecture Search for Dense Prediction Tasks in Computer Vision. CoRR Thomas Elsken, Arber Zela, Jan Hendrik Metzen, Benedikt Staffler, Thomas Brox, Abhinav Valada, Frank Hutter
2021	J	`jnl`	Bag of Tricks for Neural Architecture Search. CoRR Thomas Elsken, Benedikt Staffler, Arber Zela, Jan Hendrik Metzen, Frank Hutter
2021	A*	`conf`	Does enhanced shape bias improve neural network robustness to common corruptions? ICLR Chaithanya Kumar Mummadi, Ranjitha Subramaniam, Robin Hutmacher, Julien Vitay, Volker Fischer, Jan Hendrik Metzen
2021	J	`jnl`	Does enhanced shape bias improve neural network robustness to common corruptions? CoRR Chaithanya Kumar Mummadi, Ranjitha Subramaniam, Robin Hutmacher, Julien Vitay, Volker Fischer, Jan Hendrik Metzen
2021	A*	`conf`	Efficient Certified Defenses Against Patch Attacks on Image Classifiers. ICLR Jan Hendrik Metzen, Maksym Yatsura
2021	J	`jnl`	Efficient Certified Defenses Against Patch Attacks on Image Classifiers. CoRR Jan Hendrik Metzen, Maksym Yatsura
2021	J	`jnl`	Meta Adversarial Training. CoRR Jan Hendrik Metzen, Nicole Finnie, Robin Hutmacher
2021	A*	`conf`	Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks. NeurIPS Maksym Yatsura, Jan Hendrik Metzen, Matthias Hein
2021	J	`jnl`	Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks. CoRR Maksym Yatsura, Jan Hendrik Metzen, Matthias Hein
2021	J	`jnl`	Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation. CoRR Chaithanya Kumar Mummadi, Robin Hutmacher, Kilian Rambach, Evgeny Levinkov, Thomas Brox, Jan Hendrik Metzen
2020	J	`jnl`	Adversarial and Natural Perturbations for General Robustness. CoRR Sadaf Gulshad, Jan Hendrik Metzen, Arnold W. M. Smeulders
2020	J	`jnl`	Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers. CoRR Christoph Kamann, Burkhard Güssefeld, Robin Hutmacher, Jan Hendrik Metzen, Carsten Rother
2020	A*	`conf`	Meta-Learning of Neural Architectures for Few-Shot Learning. CVPR Thomas Elsken, Benedikt Staffler, Jan Hendrik Metzen, Frank Hutter
2019	A*	`conf`	Defending Against Universal Perturbations With Shared Adversarial Training. ICCV Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen
2019	—	`conf`	Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution. ICLR (Poster) Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
2019	J	`jnl`	Interpreting Adversarial Examples with Attributes. CoRR Sadaf Gulshad, Jan Hendrik Metzen, Arnold W. M. Smeulders, Zeynep Akata
2019	J	`jnl`	Meta-Learning of Neural Architectures for Few-Shot Learning. CoRR Thomas Elsken, Benedikt Staffler, Jan Hendrik Metzen, Frank Hutter
2019	—	`ch.`	Neural Architecture Search. Automated Machine Learning Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
2019	J	`jnl`	Neural Architecture Search: A Survey. J. Mach. Learn. Res. Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
2019	J	`jnl`	Understanding Misclassifications by Attributes. CoRR Sadaf Gulshad, Zeynep Akata, Jan Hendrik Metzen, Arnold W. M. Smeulders
2018	J	`jnl`	Defending against Universal Perturbations with Shared Adversarial Training. CoRR Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen
2018	J	`jnl`	Multi-objective Architecture Search for CNNs. CoRR Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
2018	J	`jnl`	Neural Architecture Search: A Survey. CoRR Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
2018	A*	`conf`	Scaling provable adversarial defenses. NeurIPS Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter
2018	J	`jnl`	Scaling provable adversarial defenses. CoRR Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter
2018	—	`conf`	Simple and efficient architecture search for Convolutional Neural Networks. ICLR (Workshop) Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
2018	J	`jnl`	The BesMan Learning Platform for Automated Robot Skill Learning. Frontiers Robotics AI Lisa Gutzeit, Alexander Fabisch, Marc Otto, Jan Hendrik Metzen, Jonas Hansen, Frank Kirchner, Elsa Andrea Kirchner
2017	—	`conf`	Adversarial Examples for Semantic Image Segmentation. ICLR (Workshop) Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox
2017	J	`jnl`	Adversarial Examples for Semantic Image Segmentation. CoRR Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox
2017	—	`conf`	On Detecting Adversarial Perturbations. ICLR (Poster) Jan Hendrik Metzen, Tim Genewein, Volker Fischer, Bastian Bischoff
2017	J	`jnl`	On Detecting Adversarial Perturbations. CoRR Jan Hendrik Metzen, Tim Genewein, Volker Fischer, Bastian Bischoff
2017	J	`jnl`	Simple And Efficient Architecture Search for Convolutional Neural Networks. CoRR Thomas Elsken, Jan Hendrik Metzen, Frank Hutter
2017	A*	`conf`	Universal Adversarial Perturbations Against Semantic Image Segmentation. ICCV Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer
2017	J	`jnl`	Universal Adversarial Perturbations Against Semantic Image Segmentation. CoRR Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer
2016	J	`jnl`	Cognitive AutonomouS CAtheters Operating in Dynamic Environments. J. Medical Robotics Res. Emmanuel B. Vander Poorten, Phuong Toan Tran, Alain Devreker, Caspar Gruijthuijsen, Sergio Portolés Diez, Gabrijel Smoljkic, Vule Strbac, Nele Famaey, Dominiek Reynaerts, Jos Vander Sloten, Abraham Temesgen Tibebu, Bingbin Yu, Christian Rauch, Felix Bernard, Yohannes Kassahun, Jan Hendrik Metzen, Stamatia Giannarou, Liang Zhao, Su-Lin Lee, Guang-Zhong Yang, Evangelos B. Mazomenos, Ping-Lin Chang, Danail Stoyanov, Maryna Kvasnytsia, Joris Van Deun, Eva Verhoelst, Mauro M. Sette, Anita Di Iasio, Giovanni Leo, Fabian Hertner, Daniel Scherly, Leandro Chelini, Nicolai Häni, Dejan Seatovic, Benoît Rosa, Herbert De Praetere, Paul Herijgers
2016	J	`jnl`	Erratum to: Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions. Int. J. Comput. Assist. Radiol. Surg. Yohannes Kassahun, Bingbin Yu, Abraham Temesgen Tibebu, Danail Stoyanov, Stamatia Giannarou, Jan Hendrik Metzen, Emmanuel B. Vander Poorten
2016	A*	`conf`	Minimum Regret Search for Single- and Multi-Task Optimization. ICML Jan Hendrik Metzen
2016	J	`jnl`	Minimum Regret Search for Single- and Multi-Task Optimization. CoRR Jan Hendrik Metzen
2016	J	`jnl`	Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions. Int. J. Comput. Assist. Radiol. Surg. Yohannes Kassahun, Bingbin Yu, Abraham Temesgen Tibebu, Danail Stoyanov, Stamatia Giannarou, Jan Hendrik Metzen, Emmanuel B. Vander Poorten
2015	J	`jnl`	Accounting for Task-Difficulty in Active Multi-Task Robot Control Learning. Künstliche Intell. Alexander Fabisch, Jan Hendrik Metzen, Mario Michael Krell, Frank Kirchner
2015	J	`jnl`	Active Contextual Entropy Search. CoRR Jan Hendrik Metzen
2015	—	`conf`	Concept of a Data Thread Based Parking Space Occupancy Prediction in a Berlin Pilot Region. AAAI Workshop: AI for Transportation Tim Tiedemann, Thomas Vögele, Mario Michael Krell, Jan Hendrik Metzen, Frank Kirchner
2015	—	`conf`	Intuitive Interaction with Robots - Technical Approaches and Challenges. SyDe Summer School Elsa Andrea Kirchner, Jose de Gea Fernandez, Peter Kampmann, Martin Schröer, Jan Hendrik Metzen, Frank Kirchner
2014	J	`jnl`	Active contextual policy search. J. Mach. Learn. Res. Alexander Fabisch, Jan Hendrik Metzen
2014	—	`—`	Learning the Structure of Continuous Markov Decision Processes. Jan Hendrik Metzen
2014	J	`jnl`	Towards Learning of Generic Skills for Robotic Manipulation. Künstliche Intell. Jan Hendrik Metzen, Alexander Fabisch, Lisa Senger, Jose de Gea Fernandez, Elsa Andrea Kirchner
2014	B	`conf`	Velocity-Based Multiple Change-Point Inference for Unsupervised Segmentation of Human Movement Behavior. ICPR Lisa Senger, Martin Schröer, Jan Hendrik Metzen, Elsa Andrea Kirchner
2013	J	`jnl`	Incremental learning of skill collections based on intrinsic motivation. Frontiers Neurorobotics Jan Hendrik Metzen, Frank Kirchner
2013	—	`conf`	Learning Graph-Based Representations for Continuous Reinforcement Learning Domains. ECML/PKDD (1) Jan Hendrik Metzen
2013	J	`jnl`	pySPACE - a signal processing and classification environment in Python. Frontiers Neuroinformatics Mario Michael Krell, Sirko Straube, Anett Seeland, Hendrik Wöhrle, Johannes Teiwes, Jan Hendrik Metzen, Elsa Andrea Kirchner, Frank Kirchner
2012	—	`conf`	Online Skill Discovery using Graph-based Clustering. EWRL Jan Hendrik Metzen
2011	—	`conf`	Minimizing Calibration Time for Brain Reading. DAGM-Symposium Jan Hendrik Metzen, Su Kyoung Kim, Elsa Andrea Kirchner
2010	A	`conf`	Model-based direct policy search. AAMAS Jan Hendrik Metzen, Frank Kirchner
2009	J	`jnl`	Learning to Play the BRIO Labyrinth Game. Künstliche Intell. Jan Hendrik Metzen, Elsa Andrea Kirchner, Larbi Abdenebaoui, Frank Kirchner
2009	J	`jnl`	Matching of anatomical tree structures for registration of medical images. Image Vis. Comput. Jan Hendrik Metzen, Tim Kröger, Andrea Schenk, Stephan Zidowitz, Heinz-Otto Peitgen, Xiaoyi Jiang
2008	A	`conf`	Accelerating neuroevolutionary methods using a Kalman filter. GECCO Yohannes Kassahun, Jose de Gea, Mark Edgington, Jan Hendrik Metzen, Frank Kirchner
2008	—	`conf`	Analysis of an evolutionary reinforcement learning method in a multiagent domain. AAMAS (1) Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner
2008	Misc	`conf`	EANT+KALMAN: An Efficient Reinforcement Learning Method for Continuous State Partially Observable Domains. KI Yohannes Kassahun, Jose de Gea, Jan Hendrik Metzen, Mark Edgington, Frank Kirchner
2008	A	`conf`	Evolving Neural Networks for Online Reinforcement Learning. PPSN Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner
2008	A	`conf`	Learning Walking Patterns for Kinematically Complex Robots Using Evolution Strategies. PPSN Malte Römmermann, Mark Edgington, Jan Hendrik Metzen, Jose de Gea, Yohannes Kassahun, Frank Kirchner
2008	A	`conf`	Towards efficient online reinforcement learning using neuroevolution. GECCO Jan Hendrik Metzen, Frank Kirchner, Mark Edgington, Yohannes Kassahun
2007	Misc	`conf`	A General Framework for Encoding and Evolving Neural Networks. KI Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea, Mark Edgington, Frank Kirchner
2007	A	`conf`	A common genetic encoding for both direct and indirect encodings of networks. GECCO Yohannes Kassahun, Mark Edgington, Jan Hendrik Metzen, Gerald Sommer, Frank Kirchner
2007	—	`conf`	Matching of Tree Structures for Registration of Medical Images. GbRPR Jan Hendrik Metzen, Tim Kröger, Andrea Schenk, Stephan Zidowitz, Heinz-Otto Peitgen, Xiaoyi Jiang
2007	—	`conf`	Matching von Baumstrukturen. Bildverarbeitung für die Medizin Jan Hendrik Metzen, Tim Kröger, Andrea Schenk, Stephan Zidowitz, Heinz-Otto Peitgen, Xiaoyi Jiang
2007	C	`conf`	Performance evaluation of EANT in the robocup keepaway benchmark. ICMLA Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner
2005	—	`conf`	Rokkatan - ein massiv mehrspielerfähiges Echtzeitspiel. Informatiktage Jan Hendrik Metzen, Alexander Ploss, Maraike Schellmann
2005	—	`conf`	Rokkatan: scaling an RTS game design to the massively multiplayer realm. Advances in Computer Entertainment Technology Jens Müller, Jan Hendrik Metzen, Alexander Ploss, Maraike Schellmann, Sergei Gorlatch