J. H. Metzen

发表

Bayesian Optimization for Contextual Policy Search *

J. H. Metzen, Alexander Fabisch, Jonas Hansen, 2015 .

Towards Learning of Generic Skills for Robotic Manipulation

Alexander Fabisch, Elsa Andrea Kirchner, Jan Hendrik Metzen, 2014, KI - Künstliche Intelligenz.

Neural Architecture Search: A Survey pdf

Frank Hutter, Jan Hendrik Metzen, Thomas Elsken, 2018, J. Mach. Learn. Res..

On Detecting Adversarial Perturbations pdf

Jan Hendrik Metzen, Tim Genewein, Volker Fischer, 2017, ICLR.

Deep Uncertainty Estimation for Model-based Neural Architecture Search

J. H. Metzen, W. Neiswanger, T. Elsken, 2019 .

Surgical Robotics Beyond Enhanced Dexterity Instrumentation A survey of the machine learning techniques and their role in intelligent and autonomous surgical actions

Abraham Temesgen Tibebu, J. H. Metzen, S. Giannarou, 2015 .

Chapter 3 Neural Architecture Search

F. Hutter, J. H. Metzen, T. Elsken, 2018 .

Quantification and Minimization of the Simulation-Reality-Gap on a BRIO R © Labyrinth Game

J. H. Metzen, E. Kirchner, F. Kirchner, 2009 .

Correction to: Neural Architecture Search

Frank Hutter, Jan Hendrik Metzen, Thomas Elsken, 2019, Automated Machine Learning.

Efficient Certified Defenses Against Patch Attacks on Image Classifiers

J. H. Metzen, Maksym Yatsura, 2021, ICLR.

Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation

J. H. Metzen, Matthias Hein, K. Sakmann, 2022, ArXiv.

Meta Adversarial Training against Universal Patches

Jan Hendrik Metzen, Robin Hutmacher, Nicole Finnie, 2021, 2101.11453.

Universality, Robustness, and Detectability of Adversarial Perturbations under Adversarial Training

Jan Hendrik Metzen, J. H. Metzen, 2018 .

Towards catheter tracking and data-based catheter steering

Emmanuel Vander Poorten, Jan Hendrik Metzen, Bingbin Yu, 2015 .

Incremental Acquisition of Neural Structures through Evolution

Frank Kirchner, Yohannes Kassahun, Jan Hendrik Metzen, 2009 .

Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness

Chaithanya Kumar Mummadi, J. H. Metzen, Nicole Finnie, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Universal Adversarial Perturbations Against Semantic Image Segmentation

Thomas Brox, Jan Hendrik Metzen, Volker Fischer, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution

Frank Hutter, Jan Hendrik Metzen, Thomas Elsken, 2018, ICLR.

Minimum Regret Search for Single- and Multi-Task Optimization

Jan Hendrik Metzen, J. H. Metzen, 2016, ICML.

Concept of a Data Thread Based Parking Space Occupancy Prediction in a Berlin Pilot Region

Mario Michael Krell, Frank Kirchner, Jan Hendrik Metzen, 2015, AAAI Workshop: AI for Transportation.

Cognitive AutonomouS CAtheters Operating in Dynamic Environments

Su-Lin Lee, Dominiek Reynaerts, Guang-Zhong Yang, 2016, J. Medical Robotics Res..

Accelerating neuroevolutionary methods using a Kalman filter

Frank Kirchner, Yohannes Kassahun, Jan Hendrik Metzen, 2008, GECCO '08.

Active contextual policy search

Alexander Fabisch, Jan Hendrik Metzen, J. H. Metzen, 2014, J. Mach. Learn. Res..

Comparison of Sensor Selection Mechanisms for an ERP-Based Brain-Computer Interface

David Feess, Mario M. Krell, Jan H. Metzen, 2013, PloS one.

Scaling provable adversarial defenses

J. Zico Kolter, Jan Hendrik Metzen, Eric Wong, 2018, NeurIPS.

Interpreting Adversarial Examples with Attributes pdf

Arnold W. M. Smeulders, Zeynep Akata, Jan Hendrik Metzen, 2019, ArXiv.

Defending Against Universal Perturbations With Shared Adversarial Training

Thomas Brox, Jan Hendrik Metzen, Chaithanya Kumar Mummadi, 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Multi-objective Architecture Search for CNNs pdf

Frank Hutter, Jan Hendrik Metzen, Thomas Elsken, 2018, ArXiv.

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

Matthias Hein, Jan Hendrik Metzen, Maksym Yatsura, 2021, NeurIPS.

Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation pdf

Thomas Brox, Jan Hendrik Metzen, Evgeny Levinkov, 2021, ArXiv.

Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions

Danail Stoyanov, Yohannes Kassahun, Stamatia Giannarou, 2016, International Journal of Computer Assisted Radiology and Surgery.

Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers

Jan Hendrik Metzen, Carsten Rother, Burkhard Güssefeld, 2020, ECCV.

Identification of Systematic Errors of Image Classifiers on Rare Subgroups

J. H. Metzen, N. G. Hua, Valentyn Boreiko, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation

J. H. Metzen, Matthias Hein, K. Sakmann, 2022, ICLR.

Meta-Learning of Neural Architectures for Few-Shot Learning

F. Hutter, J. H. Metzen, T. Elsken, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Simple And Efficient Architecture Search for Convolutional Neural Networks pdf

Frank Hutter, Jan Hendrik Metzen, Thomas Elsken, 2017, ICLR.

Does enhanced shape bias improve neural network robustness to common corruptions? pdf

Jan Hendrik Metzen, Chaithanya Kumar Mummadi, Julien Vitay, 2021, ICLR.

The BesMan Learning Platform for Automated Robot Skill Learning

Alexander Fabisch, Frank Kirchner, Elsa Andrea Kirchner, 2018, Front. Robot. AI.

Active Contextual Entropy Search pdf

Jan Hendrik Metzen, J. H. Metzen, 2015, ArXiv.

Assisting Telemanipulation Operators via Real-Time Brain Reading

Frank Kirchner, Elsa Andrea Kirchner, Jan Hendrik Metzen, 2009 .

Adversarial Examples for Semantic Image Segmentation pdf

Thomas Brox, Jan Hendrik Metzen, Volker Fischer, 2017, ICLR.

Intuitive Interaction with Robots - Technical Approaches and Challenges

Frank Kirchner, Elsa Andrea Kirchner, Jan Hendrik Metzen, 2015, SyDe Summer School.

Meta Adversarial Training against Universal Patches

J. H. Metzen, Nicole Finnie, Robin Hutmacher, 2021, 2101.11453.

Neural Architecture Search for Dense Prediction Tasks in Computer Vision

F. Hutter, T. Brox, J. H. Metzen, 2022, International Journal of Computer Vision.

Neural Architecture Search

Frank Hutter, Jan Hendrik Metzen, Thomas Elsken, 2019, Automated Machine Learning.

On Detecting Adversarial Perturbations

J. H. Metzen, Tim Genewein, Volker Fischer, 2017, ICLR.

Adversarial and Natural Perturbations for General Robustness

A. Smeulders, J. H. Metzen, Sadaf Gulshad, 2020, ArXiv.

Gaussian Noise Saturation Elastic Transform Wave Transform Obstruction Gaussian Blur pdf

Jan Hendrik Metzen, Arnold Smeulders, Sadaf Gulshad, 2020 .

Bag of Tricks for Neural Architecture Search pdf

Frank Hutter, Jan Hendrik Metzen, Thomas Elsken, 2021, ArXiv.

Learning Graph-Based Representations for Continuous Reinforcement Learning Domains

Jan Hendrik Metzen, J. H. Metzen, 2013, ECML/PKDD.

Incremental learning of skill collections based on intrinsic motivation

Frank Kirchner, Jan Hendrik Metzen, J. H. Metzen, 2013, Front. Neurorobot..

Learning the Structure of Continuous Markov Decision Processes

Jan Hendrik Metzen, J. H. Metzen, 2014 .

Online Skill Discovery using Graph-based Clustering

Jan Hendrik Metzen, J. H. Metzen, 2012, EWRL.

Accounting for Task-Difficulty in Active Multi-Task Robot Control Learning

J. H. Metzen, Alexander Fabisch, F. Kirchner, 2015, KI - Künstliche Intelligenz.

scikit-learn/scikit-learn: scikit-learn 0.23.2

Johannes L. Schönberger, Tom Dupré la Tour, Eustache, 2020 .

Analysis of an evolutionary reinforcement learning method in a multiagent domain

Frank Kirchner, Yohannes Kassahun, Jan Hendrik Metzen, 2008, AAMAS.

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

Frank Kirchner, Gerald Sommer, Yohannes Kassahun, 2007, GECCO '07.

Meta Adversarial Training

Jan Hendrik Metzen, Nicole Finnie, Robin Hutmacher, 2021, ArXiv.

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

Elsa Andrea Kirchner, Jan Hendrik Metzen, Lisa Senger, 2014, 2014 22nd International Conference on Pattern Recognition.

Learning Skill Templates for Parameterized Tasks

Alexander Fabisch, Jan Hendrik Metzen, J. H. Metzen, 2013 .

Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution

F. Hutter, J. H. Metzen, T. Elsken, 2018, ICLR.

A survey of machine learning techniques and their role in intelligent and autonomous surgical actions

Danail Stoyanov, Yohannes Kassahun, Stamatia Giannarou, 2015 .

Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data

J. H. Metzen, Niclas Popp, Matthias Hein, 2024, 2404.16637.

Denoised Smoothing with Sample Rejection for Robustifying Pretrained Classifiers

J. H. Metzen, Huan Zhang, Zico Kolter, 2022 .