| 2024 | ECCV | Label-Free Neural Semantic Image Synthesis. | Jiayi Wang, Kevin Alexander Laube, Yumeng Li, Jan Hendrik Metzen, Shin-I Cheng, Julio Borges, Anna Khoreva |
| 2024 | WACV | 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 |
| 2023 | ICCV | Identification of Systematic Errors of Image Classifiers on Rare Subgroups. | Jan Hendrik Metzen, Robin Hutmacher, N. Grace Hua, Valentyn Boreiko, Dan Zhang |
| 2023 | ICLR | Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation. | Maksym Yatsura, Kaspar Sakmann, N. Grace Hua, Matthias Hein, Jan Hendrik Metzen |
| 2022 | CVPR | 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 |
| 2021 | ICLR | Efficient Certified Defenses Against Patch Attacks on Image Classifiers. | Jan Hendrik Metzen, Maksym Yatsura |
| 2021 | ICLR | Does enhanced shape bias improve neural network robustness to common corruptions? | Chaithanya Kumar Mummadi, Ranjitha Subramaniam, Robin Hutmacher, Julien Vitay, Volker Fischer, Jan Hendrik Metzen |
| 2020 | CVPR | Meta-Learning of Neural Architectures for Few-Shot Learning. | Thomas Elsken, Benedikt Staffler, Jan Hendrik Metzen, Frank Hutter |
| 2019 | ICCV | Defending Against Universal Perturbations With Shared Adversarial Training. | Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen |
| 2019 | ICLR | Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution. | Thomas Elsken, Jan Hendrik Metzen, Frank Hutter |
| 2018 | ICLR | Simple and efficient architecture search for Convolutional Neural Networks. | Thomas Elsken, Jan Hendrik Metzen, Frank Hutter |
| 2017 | ICCV | Universal Adversarial Perturbations Against Semantic Image Segmentation. | Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer |
| 2017 | ICLR | Adversarial Examples for Semantic Image Segmentation. | Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox |
| 2017 | ICLR | On Detecting Adversarial Perturbations. | Jan Hendrik Metzen, Tim Genewein, Volker Fischer, Bastian Bischoff |
| 2016 | ICML | Minimum Regret Search for Single- and Multi-Task Optimization. | Jan Hendrik Metzen |
| 2015 | AAAI | Concept of a Data Thread Based Parking Space Occupancy Prediction in a Berlin Pilot Region. | Tim Tiedemann, Thomas Vgele, Mario Michael Krell, Jan Hendrik Metzen, Frank Kirchner |
| 2014 | ICPR | Velocity-Based Multiple Change-Point Inference for Unsupervised Segmentation of Human Movement Behavior. | Lisa Senger, Martin Schrer, Jan Hendrik Metzen, Elsa Andrea Kirchner |
| 2008 | GECCO | Accelerating neuroevolutionary methods using a Kalman filter. | Yohannes Kassahun, Jose de Gea, Mark Edgington, Jan Hendrik Metzen, Frank Kirchner |
| 2008 | GECCO | Towards efficient online reinforcement learning using neuroevolution. | Jan Hendrik Metzen, Frank Kirchner, Mark Edgington, Yohannes Kassahun |
| 2008 | KI | 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 |
| 2008 | PPSN | Evolving Neural Networks for Online Reinforcement Learning. | Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner |
| 2008 | PPSN | Learning Walking Patterns for Kinematically Complex Robots Using Evolution Strategies. | Malte Rmmermann, Mark Edgington, Jan Hendrik Metzen, Jose de Gea, Yohannes Kassahun, Frank Kirchner |
| 2007 | GECCO | A common genetic encoding for both direct and indirect encodings of networks. | Yohannes Kassahun, Mark Edgington, Jan Hendrik Metzen, Gerald Sommer, Frank Kirchner |
| 2007 | ICMLA | Performance evaluation of EANT in the robocup keepaway benchmark. | Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner |
| 2007 | KI | A General Framework for Encoding and Evolving Neural Networks. | Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea, Mark Edgington, Frank Kirchner |