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Thilo Spinner
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2020 – today
- 2025
- [i6]Rita Sevastjanova, Robin Gerling, Thilo Spinner, Mennatallah El-Assady:
LayerFlow: Layer-wise Exploration of LLM Embeddings using Uncertainty-aware Interlinked Projections. CoRR abs/2504.10504 (2025) - 2024
- [b1]Thilo Spinner:
Visual, Interactive Deep Model Debugging : Supporting AI Development and Explainability. University of Konstanz, Germany, 2024 - [j3]Thilo Spinner
, Rebecca Kehlbeck
-generAItor: Tree-in-the-loop Text Generation for Language Model Explainability and Adaptation. ACM Trans. Interact. Intell. Syst. 14(2): 14 (2024) - [i5]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) - [i4]Thilo Spinner
iNNspector: Visual, Interactive Deep Model Debugging. CoRR abs/2407.17998 (2024) - 2023
- [i3]Thilo Spinner
Revealing the Unwritten: Visual Investigation of Beam Search Trees to Address Language Model Prompting Challenges. CoRR abs/2310.11252 (2023) - 2022
- [d1]Jochen Görtler
Replication Data for: Uncertainty-Aware Principal Component Analysis. DaRUS, 2022 - 2021
- [c2]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
- [j2]Jochen Görtler, Thilo Spinner
Uncertainty-Aware Principal Component Analysis. IEEE Trans. Vis. Comput. Graph. 26(1): 822-831 (2020) - [j1]Thilo Spinner
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning. IEEE Trans. Vis. Comput. Graph. 26(1): 1064-1074 (2020)
2010 – 2019
- 2019
- [c1]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 - [i2]Jochen Görtler, Thilo Spinner, Dirk Streeb, Daniel Weiskopf, Oliver Deussen:
Uncertainty-Aware Principal Component Analysis. CoRR abs/1905.01127 (2019) - [i1]Thilo Spinner, Udo Schlegel
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning. CoRR abs/1908.00087 (2019)
Coauthor Index
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