Rokkatan: scaling an RTS game design to the massively multiplayer realm. - Jens Müller 004; Jan Hendrik Metzen; Alexander Ploss; Maraike Schellmann; Sergei Gorlatch (Advances in Computer Entertainment Technology, 2005)

Rokkatan - ein massiv mehrspielerfähiges Echtzeitspiel. - Jan Hendrik Metzen; Alexander Ploss; Maraike Schellmann (Informatiktage, 2005)

Matching von Baumstrukturen. - Jan Hendrik Metzen; Tim Kröger; Andrea Schenk; Stephan Zidowitz; Heinz-Otto Peitgen; Xiaoyi Jiang 001 (Bildverarbeitung für die Medizin, 2007)

Matching of Tree Structures for Registration of Medical Images. - Jan Hendrik Metzen; Tim Kröger; Andrea Schenk; Stephan Zidowitz; Heinz-Otto Peitgen; Xiaoyi Jiang 001 (GbRPR, 2007)

A common genetic encoding for both direct and indirect encodings of networks. - Yohannes Kassahun; Mark Edgington; Jan Hendrik Metzen; Gerald Sommer; Frank Kirchner (GECCO, 2007)

Performance evaluation of EANT in the robocup keepaway benchmark. - Jan Hendrik Metzen; Mark Edgington; Yohannes Kassahun; Frank Kirchner (ICMLA, 2007)

A General Framework for Encoding and Evolving Neural Networks. - Yohannes Kassahun; Jan Hendrik Metzen; Jose de Gea; Mark Edgington; Frank Kirchner (KI, 2007)

Analysis of an evolutionary reinforcement learning method in a multiagent domain. - Jan Hendrik Metzen; Mark Edgington; Yohannes Kassahun; Frank Kirchner (AAMAS (1), 2008)

Accelerating neuroevolutionary methods using a Kalman filter. - Yohannes Kassahun; Jose de Gea; Mark Edgington; Jan Hendrik Metzen; Frank Kirchner (GECCO, 2008)

Towards efficient online reinforcement learning using neuroevolution. - Jan Hendrik Metzen; Frank Kirchner; Mark Edgington; Yohannes Kassahun (GECCO, 2008)

EANT+KALMAN: An Efficient Reinforcement Learning Method for Continuous State Partially Observable Domains. - Yohannes Kassahun; Jose de Gea; Jan Hendrik Metzen; Mark Edgington; Frank Kirchner (KI, 2008)

Evolving Neural Networks for Online Reinforcement Learning. - Jan Hendrik Metzen; Mark Edgington; Yohannes Kassahun; Frank Kirchner (PPSN, 2008)

Learning Walking Patterns for Kinematically Complex Robots Using Evolution Strategies. - Malte Römmermann; Mark Edgington; Jan Hendrik Metzen; Jose de Gea; Yohannes Kassahun; Frank Kirchner (PPSN, 2008)

Matching of anatomical tree structures for registration of medical images. - Jan Hendrik Metzen; Tim Kröger; Andrea Schenk; Stephan Zidowitz; Heinz-Otto Peitgen; Xiaoyi Jiang 001 (Image Vis. Comput., 2009)

Learning to Play the BRIO Labyrinth Game. - Jan Hendrik Metzen; Elsa Andrea Kirchner; Larbi Abdenebaoui; Frank Kirchner (Künstliche Intell., 2009)

Model-based direct policy search. - Jan Hendrik Metzen; Frank Kirchner (AAMAS, 2010)

Minimizing Calibration Time for Brain Reading. - Jan Hendrik Metzen; Su Kyoung Kim; Elsa Andrea Kirchner (DAGM-Symposium, 2011)

Online Skill Discovery using Graph-based Clustering. - Jan Hendrik Metzen (EWRL, 2012)

Learning Graph-Based Representations for Continuous Reinforcement Learning Domains. - Jan Hendrik Metzen (ECML/PKDD (1), 2013)

pySPACE - a signal processing and classification environment in Python. - Mario Michael Krell; Sirko Straube; Anett Seeland; Hendrik Wöhrle; Johannes Teiwes; Jan Hendrik Metzen; Elsa Andrea Kirchner; Frank Kirchner (Frontiers Neuroinformatics, 2013)

Incremental learning of skill collections based on intrinsic motivation. - Jan Hendrik Metzen; Frank Kirchner (Frontiers Neurorobotics, 2013)

Velocity-Based Multiple Change-Point Inference for Unsupervised Segmentation of Human Movement Behavior. - Lisa Senger; Martin Schröer; Jan Hendrik Metzen; Elsa Andrea Kirchner (ICPR, 2014)

Active contextual policy search. - Alexander Fabisch; Jan Hendrik Metzen (J. Mach. Learn. Res., 2014)

Towards Learning of Generic Skills for Robotic Manipulation. - Jan Hendrik Metzen; Alexander Fabisch; Lisa Senger; Jose de Gea Fernandez; Elsa Andrea Kirchner (Künstliche Intell., 2014)

Learning the Structure of Continuous Markov Decision Processes. - Jan Hendrik Metzen (2014)

Concept of a Data Thread Based Parking Space Occupancy Prediction in a Berlin Pilot Region. - Tim Tiedemann; Thomas Vögele; Mario Michael Krell; Jan Hendrik Metzen; Frank Kirchner (AAAI Workshop: AI for Transportation, 2015)

Intuitive Interaction with Robots - Technical Approaches and Challenges. - Elsa Andrea Kirchner; Jose de Gea Fernandez; Peter Kampmann; Martin Schröer; Jan Hendrik Metzen; Frank Kirchner (SyDe Summer School, 2015)

Active Contextual Entropy Search. - Jan Hendrik Metzen (CoRR, 2015)

Accounting for Task-Difficulty in Active Multi-Task Robot Control Learning. - Alexander Fabisch; Jan Hendrik Metzen; Mario Michael Krell; Frank Kirchner (Künstliche Intell., 2015)

Minimum Regret Search for Single- and Multi-Task Optimization. - Jan Hendrik Metzen (ICML, 2016)

Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions. - Yohannes Kassahun; Bingbin Yu; Abraham Temesgen Tibebu; Danail Stoyanov; Stamatia Giannarou; Jan Hendrik Metzen; Emmanuel B. Vander Poorten (Int. J. Comput. Assist. Radiol. Surg., 2016)

Erratum to: Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions. - Yohannes Kassahun; Bingbin Yu; Abraham Temesgen Tibebu; Danail Stoyanov; Stamatia Giannarou; Jan Hendrik Metzen; Emmanuel B. Vander Poorten (Int. J. Comput. Assist. Radiol. Surg., 2016)

Cognitive AutonomouS CAtheters Operating in Dynamic Environments. - 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; et al. (J. Medical Robotics Res., 2016)

Universal Adversarial Perturbations Against Semantic Image Segmentation. - Jan Hendrik Metzen; Mummadi Chaithanya Kumar; Thomas Brox; Volker Fischer 003 (ICCV, 2017)

Adversarial Examples for Semantic Image Segmentation. - Volker Fischer 003; Mummadi Chaithanya Kumar; Jan Hendrik Metzen; Thomas Brox (ICLR (Workshop), 2017)

On Detecting Adversarial Perturbations. - Jan Hendrik Metzen; Tim Genewein; Volker Fischer 003; Bastian Bischoff (ICLR (Poster), 2017)

Simple and efficient architecture search for Convolutional Neural Networks. - Thomas Elsken; Jan Hendrik Metzen; Frank Hutter (ICLR (Workshop), 2018)

Scaling provable adversarial defenses. - Eric Wong 001; Frank R. Schmidt; Jan Hendrik Metzen; J. Zico Kolter (NeurIPS, 2018)

Multi-objective Architecture Search for CNNs. - Thomas Elsken; Jan Hendrik Metzen; Frank Hutter (CoRR, 2018)

The BesMan Learning Platform for Automated Robot Skill Learning. - Lisa Gutzeit; Alexander Fabisch; Marc Otto; Jan Hendrik Metzen; Jonas Hansen; Frank Kirchner; Elsa Andrea Kirchner (Frontiers Robotics AI, 2018)

Neural Architecture Search. - Thomas Elsken; Jan Hendrik Metzen; Frank Hutter (Automated Machine Learning, 2019)

Defending Against Universal Perturbations With Shared Adversarial Training. - Chaithanya Kumar Mummadi; Thomas Brox; Jan Hendrik Metzen (ICCV, 2019)

Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution. - Thomas Elsken; Jan Hendrik Metzen; Frank Hutter (ICLR (Poster), 2019)

Interpreting Adversarial Examples with Attributes. - Sadaf Gulshad; Jan Hendrik Metzen; Arnold W. M. Smeulders; Zeynep Akata (CoRR, 2019)

Understanding Misclassifications by Attributes. - Sadaf Gulshad; Zeynep Akata; Jan Hendrik Metzen; Arnold W. M. Smeulders (CoRR, 2019)

Neural Architecture Search: A Survey. - Thomas Elsken; Jan Hendrik Metzen; Frank Hutter (J. Mach. Learn. Res., 2019)

Meta-Learning of Neural Architectures for Few-Shot Learning. - Thomas Elsken; Benedikt Staffler; Jan Hendrik Metzen; Frank Hutter (CVPR, 2020)

Adversarial and Natural Perturbations for General Robustness. - Sadaf Gulshad; Jan Hendrik Metzen; Arnold W. M. Smeulders (CoRR, 2020)

Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers. - Christoph Kamann; Burkhard Güssefeld; Robin Hutmacher; Jan Hendrik Metzen; Carsten Rother (CoRR, 2020)

Efficient Certified Defenses Against Patch Attacks on Image Classifiers. - Jan Hendrik Metzen; Maksym Yatsura (ICLR, 2021)

Does enhanced shape bias improve neural network robustness to common corruptions? - Chaithanya Kumar Mummadi; Ranjitha Subramaniam; Robin Hutmacher; Julien Vitay; Volker Fischer 003; Jan Hendrik Metzen (ICLR, 2021)

Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks. - Maksym Yatsura; Jan Hendrik Metzen; Matthias Hein 001 (NeurIPS, 2021)

Meta Adversarial Training. - Jan Hendrik Metzen; Nicole Finnie; Robin Hutmacher (CoRR, 2021)

Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation. - Chaithanya Kumar Mummadi; Robin Hutmacher; Kilian Rambach; Evgeny Levinkov; Thomas Brox; Jan Hendrik Metzen (CoRR, 2021)

Bag of Tricks for Neural Architecture Search. - Thomas Elsken; Benedikt Staffler; Arber Zela; Jan Hendrik Metzen; Frank Hutter (CoRR, 2021)

Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness. - Giulio Lovisotto; Nicole Finnie; Mauricio Munoz; Chaithanya Kumar Mummadi; Jan Hendrik Metzen (CVPR, 2022)

Neural Architecture Search for Dense Prediction Tasks in Computer Vision. - Thomas Elsken; Arber Zela; Jan Hendrik Metzen; Benedikt Staffler; Thomas Brox; Abhinav Valada; Frank Hutter (CoRR, 2022)

Identification of Systematic Errors of Image Classifiers on Rare Subgroups. - Jan Hendrik Metzen; Robin Hutmacher; N. Grace Hua; Valentyn Boreiko; Dan Zhang (ICCV, 2023)

Identifying Systematic Errors in Object Detectors with the SCROD Pipeline. - Valentyn Boreiko; Matthias Hein 001; Jan Hendrik Metzen (ICCV (Workshops), 2023)

Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation. - Maksym Yatsura; Kaspar Sakmann; N. Grace Hua; Matthias Hein 001; Jan Hendrik Metzen (ICLR, 2023)

Neural Architecture Search for Dense Prediction Tasks in Computer Vision. - Rohit Mohan; Thomas Elsken; Arber Zela; Jan Hendrik Metzen; Benedikt Staffler; Thomas Brox; Abhinav Valada; Frank Hutter (Int. J. Comput. Vis., 2023)

Label-Free Neural Semantic Image Synthesis. - Jiayi Wang; Kevin Alexander Laube; Yumeng Li; Jan Hendrik Metzen; Shin-I Cheng; Julio Borges; Anna Khoreva (ECCV (53), 2024)

SciOL and MuLMS-Img: Introducing A Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain. - Tim Tarsi; Heike Adel; Jan Hendrik Metzen; Dan Zhang; Matteo Finco; Annemarie Friedrich (WACV, 2024)

Identification of Fine-grained Systematic Errors via Controlled Scene Generation. - Valentyn Boreiko; Matthias Hein 001; Jan Hendrik Metzen (CoRR, 2024)

Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data. - Niclas Popp; Jan Hendrik Metzen; Matthias Hein 001 (CoRR, 2024)

Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory. - Xiaoyan Xing; Vincent Tao Hu; Jan Hendrik Metzen; Konrad Groh; Sezer Karaoglu; Theo Gevers (CoRR, 2024)

Object-Focused Data Selection for Dense Prediction Tasks. - Niclas Popp; Dan Zhang; Jan Hendrik Metzen; Matthias Hein 001; Lukas Schott (CoRR, 2024)

AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models. - Jan Hendrik Metzen; Piyapat Saranrittichai; Chaithanya Kumar Mummadi (Trans. Mach. Learn. Res., 2024)

Feature Distillation Improves Zero-Shot Transfer from Synthetic Images. - Niclas Popp; Jan Hendrik Metzen; Matthias Hein 001 (Trans. Mach. Learn. Res., 2024)