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Tilman Räuker
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2020 – today
- 2023
- [c2]Tilman Räuker, Anson Ho, Stephen Casper, Dylan Hadfield-Menell:
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks. SaTML 2023: 464-483 - [c1]Michael I. Ivanitskiy, Alex F. Spies, Tilman Räuker, Guillaume Corlouer, Chris Mathwin, Lucia Quirke, Can Rager, Rusheb Shah, Dan Valentine, Cecilia G. Diniz Behn, Katsumi Inoue, Samy Wu Fung:
Linearly Structured World Representations in Maze-Solving Transformers. UniReps 2023: 133-143 - [i3]Michael Igorevich Ivanitskiy, Rusheb Shah, Alex F. Spies, Tilman Räuker, Dan Valentine, Can Rager, Lucia Quirke, Chris Mathwin, Guillaume Corlouer, Cecilia G. Diniz Behn, Samy Wu Fung:
A Configurable Library for Generating and Manipulating Maze Datasets. CoRR abs/2309.10498 (2023) - [i2]Michael I. Ivanitskiy, Alex F. Spies, Tilman Räuker, Guillaume Corlouer, Chris Mathwin, Lucia Quirke, Can Rager, Rusheb Shah, Dan Valentine, Cecilia G. Diniz Behn, Katsumi Inoue, Samy Wu Fung:
Structured World Representations in Maze-Solving Transformers. CoRR abs/2312.02566 (2023) - 2022
- [i1]Tilman Räuker, Anson Ho, Stephen Casper, Dylan Hadfield-Menell:
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks. CoRR abs/2207.13243 (2022)
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