Jan Hendrik Metzen

According to our database, Jan Hendrik Metzen authored at least 63 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

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., July, 2023

AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models.

Jan Hendrik Metzen, Piyapat Saranrittichai, Chaithanya Kumar Mummadi

CoRR, 2023

Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation.

Maksym Yatsura, Kaspar Sakmann, N. Grace Hua, Matthias Hein, Jan Hendrik Metzen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Identifying Systematic Errors in Object Detectors with the SCROD Pipeline.

Valentyn Boreiko, Matthias Hein, Jan Hendrik Metzen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Identification of Systematic Errors of Image Classifiers on Rare Subgroups.

Jan Hendrik Metzen, Robin Hutmacher, N. Grace Hua, Valentyn Boreiko, Dan Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Bag of Tricks for Neural Architecture Search.

Thomas Elsken, Benedikt Staffler, Arber Zela, Jan Hendrik Metzen, Frank Hutter

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

Meta Adversarial Training.

Jan Hendrik Metzen, Nicole Finnie, Robin Hutmacher

CoRR, 2021

Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks.

Maksym Yatsura, Jan Hendrik Metzen, Matthias Hein

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Proceedings of the 9th International Conference on Learning Representations, 2021

Efficient Certified Defenses Against Patch Attacks on Image Classifiers.

Jan Hendrik Metzen, Maksym Yatsura

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Adversarial and Natural Perturbations for General Robustness.

Sadaf Gulshad, Jan Hendrik Metzen, Arnold W. M. Smeulders

CoRR, 2020

Meta-Learning of Neural Architectures for Few-Shot Learning.

Thomas Elsken, Benedikt Staffler, Jan Hendrik Metzen, Frank Hutter

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Neural Architecture Search: A Survey.

Thomas Elsken, Jan Hendrik Metzen, Frank Hutter

J. Mach. Learn. Res., 2019

Understanding Misclassifications by Attributes.

Sadaf Gulshad, Zeynep Akata, Jan Hendrik Metzen, Arnold W. M. Smeulders

CoRR, 2019

Interpreting Adversarial Examples with Attributes.

Sadaf Gulshad, Jan Hendrik Metzen, Arnold W. M. Smeulders, Zeynep Akata

CoRR, 2019

Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution.

Thomas Elsken, Jan Hendrik Metzen, Frank Hutter

Proceedings of the 7th International Conference on Learning Representations, 2019

Defending Against Universal Perturbations With Shared Adversarial Training.

Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Neural Architecture Search.

Thomas Elsken, Jan Hendrik Metzen, Frank Hutter

Proceedings of the Automated Machine Learning - Methods, Systems, Challenges, 2019

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

Multi-objective Architecture Search for CNNs.

Thomas Elsken, Jan Hendrik Metzen, Frank Hutter

CoRR, 2018

Scaling provable adversarial defenses.

Eric Wong, Frank R. Schmidt, Jan Hendrik Metzen, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Simple and efficient architecture search for Convolutional Neural Networks.

Thomas Elsken, Jan Hendrik Metzen, Frank Hutter

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

On Detecting Adversarial Perturbations.

Jan Hendrik Metzen, Tim Genewein, Volker Fischer, Bastian Bischoff

Proceedings of the 5th International Conference on Learning Representations, 2017

Adversarial Examples for Semantic Image Segmentation.

Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox

Proceedings of the 5th International Conference on Learning Representations, 2017

Universal Adversarial Perturbations Against Semantic Image Segmentation.

Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer

Proceedings of the IEEE International Conference on Computer Vision, 2017

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, 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

J. Medical Robotics Res., 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

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

Minimum Regret Search for Single- and Multi-Task Optimization.

Jan Hendrik Metzen

Proceedings of the 33nd International Conference on Machine Learning, 2016

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

Active Contextual Entropy Search.

Jan Hendrik Metzen

CoRR, 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

Proceedings of the Formal Modeling and Verification of Cyber-Physical Systems, 2015

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

Proceedings of the Artificial Intelligence for Transportation: Advice, 2015

2014

Learning the Structure of Continuous Markov Decision Processes.

Jan Hendrik Metzen

PhD thesis, 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

Active contextual policy search.

Alexander Fabisch, Jan Hendrik Metzen

J. Mach. Learn. Res., 2014

Velocity-Based Multiple Change-Point Inference for Unsupervised Segmentation of Human Movement Behavior.

Lisa Senger, Martin Schröer, Jan Hendrik Metzen, Elsa Andrea Kirchner

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Incremental learning of skill collections based on intrinsic motivation.

Jan Hendrik Metzen, Frank Kirchner

Frontiers Neurorobotics, 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

Learning Graph-Based Representations for Continuous Reinforcement Learning Domains.

Jan Hendrik Metzen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2012

Online Skill Discovery using Graph-based Clustering.

Jan Hendrik Metzen

Proceedings of the Tenth European Workshop on Reinforcement Learning, 2012

2011

Minimizing Calibration Time for Brain Reading.

Jan Hendrik Metzen, Su Kyoung Kim, Elsa Andrea Kirchner

Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

2010

Model-based direct policy search.

Jan Hendrik Metzen, Frank Kirchner

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009

Learning to Play the BRIO Labyrinth Game.

Jan Hendrik Metzen, Elsa Andrea Kirchner, Larbi Abdenebaoui, Frank Kirchner

Künstliche Intell., 2009

Matching of anatomical tree structures for registration of medical images.

Jan Hendrik Metzen, Tim Kröger, Andrea Schenk, Stephan Zidowitz, Heinz-Otto Peitgen, Xiaoyi Jiang

Image Vis. Comput., 2009

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

Proceedings of the Parallel Problem Solving from Nature, 2008

Evolving Neural Networks for Online Reinforcement Learning.

Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner

Proceedings of the Parallel Problem Solving from Nature, 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

Proceedings of the KI 2008: Advances in Artificial Intelligence, 2008

Towards efficient online reinforcement learning using neuroevolution.

Jan Hendrik Metzen, Frank Kirchner, Mark Edgington, Yohannes Kassahun

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Accelerating neuroevolutionary methods using a Kalman filter.

Yohannes Kassahun, Jose de Gea, Mark Edgington, Jan Hendrik Metzen, Frank Kirchner

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Analysis of an evolutionary reinforcement learning method in a multiagent domain.

Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007

A General Framework for Encoding and Evolving Neural Networks.

Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea, Mark Edgington, Frank Kirchner

Proceedings of the KI 2007: Advances in Artificial Intelligence, 2007

Performance evaluation of EANT in the robocup keepaway benchmark.

Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

A common genetic encoding for both direct and indirect encodings of networks.

Yohannes Kassahun, Mark Edgington, Jan Hendrik Metzen, Gerald Sommer, Frank Kirchner

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Matching of Tree Structures for Registration of Medical Images.

Jan Hendrik Metzen, Tim Kröger, Andrea Schenk, Stephan Zidowitz, Heinz-Otto Peitgen, Xiaoyi Jiang

Proceedings of the Graph-Based Representations in Pattern Recognition, 2007

Matching von Baumstrukturen.

Jan Hendrik Metzen, Tim Kröger, Andrea Schenk, Stephan Zidowitz, Heinz-Otto Peitgen, Xiaoyi Jiang

Proceedings of the Bildverarbeitung für die Medizin 2007, 2007

2005

Rokkatan - ein massiv mehrspielerfähiges Echtzeitspiel.

Jan Hendrik Metzen, Alexander Ploss, Maraike Schellmann

Proceedings of the Informatiktage 2005, 2005

Rokkatan: scaling an RTS game design to the massively multiplayer realm.

Jens Müller, Jan Hendrik Metzen, Alexander Ploss, Maraike Schellmann, Sergei Gorlatch

Proceedings of the International Conference on Advances in Computer Entertainment Technology, 2005