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Yannick Metz
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2020 – today
- 2025
- [i8]Yannick Metz, András Geiszl, Raphaël Baur, Mennatallah El-Assady:
Reward Learning from Multiple Feedback Types. CoRR abs/2502.21038 (2025) - 2024
- [c3]Yannick Metz, Dennis Ackermann, Daniel A. Keim, Maximilian T. Fischer:
Interactive Public Transport Infrastructure Analysis through Mobility Profiles: Making the Mobility Transition Transparent. VDS@VIS 2024: 6-14 - [i7]Maximilian T. Fischer, Yannick Metz, Lucas Joos, Matthias Miller, Daniel A. Keim:
MULTI-CASE: A Transformer-based Ethics-aware Multimodal Investigative Intelligence Framework. CoRR abs/2401.01955 (2024) - [i6]Yannick Metz, Dennis Ackermann, Daniel A. Keim, Maximilian T. Fischer:
Interactive Public Transport Infrastructure Analysis through Mobility Profiles: Making the Mobility Transition Transparent. CoRR abs/2407.10791 (2024) - [i5]Yannick Metz, David Lindner, Raphaël Baur, Mennatallah El-Assady:
Mapping out the Space of Human Feedback for Reinforcement Learning: A Conceptual Framework. CoRR abs/2411.11761 (2024) - [i4]Bastian Jäckl, Yannick Metz, Udo Schlegel, Daniel A. Keim, Maximilian T. Fischer:
Leveraging Color Channel Independence for Improved Unsupervised Object Detection. CoRR abs/2412.15150 (2024) - 2023
- [j3]Yannick Metz
, Eugene Bykovets, Lucas Joos
VISITOR: Visual Interactive State Sequence Exploration for Reinforcement Learning. Comput. Graph. Forum 42(3): 397-408 (2023) - [i3]Yannick Metz, David Lindner, Raphaël Baur, Daniel A. Keim, Mennatallah El-Assady:
RLHF-Blender: A Configurable Interactive Interface for Learning from Diverse Human Feedback. CoRR abs/2308.04332 (2023) - 2022
- [j2]Maximilian C. Hartmann
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. Ecol. Informatics 71: 101782 (2022) - [j1]Dirk Streeb
Task-Based Visual Interactive Modeling: Decision Trees and Rule-Based Classifiers. IEEE Trans. Vis. Comput. Graph. 28(9): 3307-3323 (2022) - [c2]Yannick Metz, Udo Schlegel, Daniel Seebacher, Mennatallah El-Assady, Daniel A. Keim:
A Comprehensive Workflow for Effective Imitation and Reinforcement Learning with Visual Analytics. EuroVA@EuroVis 2022: 19-23 - [i2]Eugene Bykovets, Yannick Metz, Mennatallah El-Assady, Daniel A. Keim, Joachim M. Buhmann:
BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning. CoRR abs/2208.10481 (2022) - [i1]Eugene Bykovets, Yannick Metz, Mennatallah El-Assady, Daniel A. Keim, Joachim M. Buhmann:
How to Enable Uncertainty Estimation in Proximal Policy Optimization. CoRR abs/2210.03649 (2022)
2010 – 2019
- 2018
- [c1]Benedikt Bäumle, Ina Boesecke, Raphael Buchmüller, Yannick Metz, Juri Buchmüller, Eren Cakmak, Wolfgang Jentner, Daniel A. Keim:
Interactive Webtool for Tempospatial Data and Visual Audio Analysis : VAST Challenge 2018: Honorable Mention for Interactive Analytic Tool. VAST 2018: 96-97
Coauthor Index
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