Yannick Metz

According to our database, Yannick Metz authored at least 20 papers between 2018 and 2026.

Collaborative distances:

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

2026

MAVRL: Learning Reward Functions from Multiple Feedback Types with Amortized Variational Inference.

Raphaël Baur, Yannick Metz, Maria Gkoulta, Mennatallah El-Assady, Giorgia Ramponi, Thomas Kleine Buening

CoRR, February, 2026

Autoencoder-based regularization methods for parametric and inverse projections.

Frederik L. Dennig, Daniela Blumberg, Nina Geyer, Yannick Metz

Comput. Graph., 2026

Parametric Detail-on-Demand for Projection Spaces of High-Dimensional Data.

Christian Alexander Steinparz, Yannick Metz, Andreas P. Hinterreiter, Manuela Waldner, Mennatallah El-Assady, Marc Streit

Proceedings of the Joint Proceedings of the ACM UMAP 2026 Workshops co-located with the 34th ACM Conference on User Modeling, 2026

2025

ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning.

Timo Kaufmann, Yannick Metz, Daniel A. Keim, Eyke Hüllermeier

CoRR, December, 2025

MOBILITY MAPS: A Dataset for Open Public Transport Infrastructure and Mobility Accessibility Profiles.

Maximilian T. Fischer, Daniel Fürst, Yannick Metz, Manuel Schmidt, Julius Rauscher, Daniel A. Keim

Dataset, July, 2025

Evaluating Autoencoders for Parametric and Invertible Multidimensional Projections.

Frederik L. Dennig, Nina Geyer, Daniela Blumberg, Yannick Metz, Daniel A. Keim

CoRR, April, 2025

OPTIMAP: A Dataset for Open Public Transport Infrastructure and Mobility Accessibility Profiles.

Maximilian T. Fischer, Daniel Fürst, Yannick Metz, Manuel Schmidt, Julius Rauscher, Daniel A. Keim

Dataset, February, 2025

Reward Learning from Multiple Feedback Types.

Yannick Metz, András Geiszl, Raphaël Baur, Mennatallah El-Assady

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Leveraging Color Channel Independence for Improved Unsupervised Object Detection.

Bastian Jäckl, Yannick Metz, Udo Schlegel, Daniel A. Keim, Maximilian T. Fischer

CoRR, 2024

Mapping out the Space of Human Feedback for Reinforcement Learning: A Conceptual Framework.

Yannick Metz, David Lindner, Raphaël Baur, Mennatallah El-Assady

CoRR, 2024

MULTI-CASE: A Transformer-based Ethics-aware Multimodal Investigative Intelligence Framework.

Maximilian T. Fischer, Yannick Metz, Lucas Joos, Matthias Miller, Daniel A. Keim

CoRR, 2024

Interactive Public Transport Infrastructure Analysis through Mobility Profiles: Making the Mobility Transition Transparent.

Yannick Metz, Dennis Ackermann, Daniel A. Keim, Maximilian T. Fischer

Proceedings of the IEEE Visualization in Data Science, 2024

2023

VISITOR: Visual Interactive State Sequence Exploration for Reinforcement Learning.

Yannick Metz, Eugene Bykovets, Lucas Joos, Daniel A. Keim, Mennatallah El-Assady

Comput. Graph. Forum, June, 2023

RLHF-Blender: A Configurable Interactive Interface for Learning from Diverse Human Feedback.

Yannick Metz, David Lindner, Raphaël Baur, Daniel A. Keim, Mennatallah El-Assady

CoRR, 2023

2022

Task-Based Visual Interactive Modeling: Decision Trees and Rule-Based Classifiers.

Dirk Streeb, Yannick Metz, Udo Schlegel, Bruno Schneider, Mennatallah El-Assady, Hansjörg Neth, Min Chen, Daniel A. Keim

IEEE Trans. Vis. Comput. Graph., 2022

A text and image analysis workflow using citizen science data to extract relevant social media records: Combining red kite observations from Flickr, eBird and iNaturalist.

Maximilian C. Hartmann, Moritz Schott, Alishiba Dsouza, Yannick Metz, Michele Volpi, Ross S. Purves

Ecol. Informatics, 2022

How to Enable Uncertainty Estimation in Proximal Policy Optimization.

Eugene Bykovets, Yannick Metz, Mennatallah El-Assady, Daniel A. Keim, Joachim M. Buhmann

CoRR, 2022

BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning.

Eugene Bykovets, Yannick Metz, Mennatallah El-Assady, Daniel A. Keim, Joachim M. Buhmann

CoRR, 2022

A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics.

Yannick Metz, Udo Schlegel, Daniel Seebacher, Mennatallah El-Assady, Daniel A. Keim

Proceedings of the 13th International EuroVis Workshop on Visual Analytics, 2022

2018

Interactive Webtool for Tempospatial Data and Visual Audio Analysis : VAST Challenge 2018: Honorable Mention for Interactive Analytic Tool.

Benedikt Bäumle, Ina Boesecke, Raphael Buchmüller, Yannick Metz, Juri Buchmüller, Eren Cakmak, Wolfgang Jentner, Daniel A. Keim

Proceedings of the 13th IEEE Conference on Visual Analytics Science and Technology, 2018