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Publication search results
found 9 matches
- 2024
- Thilo Spinner, Rebecca Kehlbeck, Rita Sevastjanova, Tobias Stähle, Daniel A. Keim, Oliver Deussen, Mennatallah El-Assady:
generAItor: Tree-in-the-Loop Text Generation for Language Model Explainability and Adaptation. CoRR abs/2403.07627 (2024) - 2023
- Thilo Spinner, Rebecca Kehlbeck, Rita Sevastjanova, Tobias Stähle, Daniel A. Keim, Oliver Deussen, Andreas Spitz, Mennatallah El-Assady:
Revealing the Unwritten: Visual Investigation of Beam Search Trees to Address Language Model Prompting Challenges. CoRR abs/2310.11252 (2023) - 2022
- Jochen Görtler, Thilo Spinner, Daniel Weiskopf, Oliver Deussen:
Replication Data for: Uncertainty-Aware Principal Component Analysis. DaRUS, 2022 - 2021
- Thilo Spinner, Udo Schlegel, Martin Schall, Fabian Sperrle, Rita Sevastjanova, Beatrice Gobbo, Julius Rauscher, Mennatallah El-Assady, Daniel A. Keim:
Speculative Execution of Similarity Queries: Real-Time Parameter Optimization through Visual Exploration. EDBT/ICDT Workshops 2021 - 2020
- Jochen Görtler, Thilo Spinner, Dirk Streeb, Daniel Weiskopf, Oliver Deussen:
Uncertainty-Aware Principal Component Analysis. IEEE Trans. Vis. Comput. Graph. 26(1): 822-831 (2020) - Thilo Spinner, Udo Schlegel, Hanna Schäfer, Mennatallah El-Assady:
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning. IEEE Trans. Vis. Comput. Graph. 26(1): 1064-1074 (2020) - 2019
- Wolfgang Jentner, Juri Buchmüller, Fabian Sperrle, Rita Sevastjanova, Thilo Spinner, Udo Schlegel, Dirk Streeb, Hanna Schäfer:
N.E.A.T. - Novel Emergency Analysis Tool. VAST 2019: 104-105 - Jochen Görtler, Thilo Spinner, Dirk Streeb, Daniel Weiskopf, Oliver Deussen:
Uncertainty-Aware Principal Component Analysis. CoRR abs/1905.01127 (2019) - Thilo Spinner, Udo Schlegel, Hanna Schäfer, Mennatallah El-Assady:
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning. CoRR abs/1908.00087 (2019)
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