基本信息
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个人简介
My research mainly revolves around representation learning. In particular, I am trying to both understand the factors that influence the degree of alignment between human and neural network representations and figure out how we can leverage human inductive biases or insights from cognitive science most fruitfully for (general purpose) machine learning. Have a look at my Google Scholar for more information about my (recent) work. Feel free to reach out to me, if you believe our research intentions are aligned and you are keen to collaborate on a project.
研究兴趣
论文共 18 篇作者统计合作学者相似作者
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arxiv(2024)
引用0浏览0引用
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arXiv (Cornell University) (2023)
Journal of Visionno. 14 (2022)
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (2020): 83-90
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作者统计
#Papers: 17
#Citation: 71
H-Index: 5
G-Index: 8
Sociability: 4
Diversity: 1
Activity: 20
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D-Core
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