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This chapter is devoted to recent advances in geometric deep learning, which aims at applying deep learning techniques to geometric data. More specifically, we focus on geometric algebra transformers, a cutting-edge approach in geometric deep learning. The chapter has two main parts. The first deals with a gentle introduction to the topic, with emphasis on various areas of application, and in the second, the latest work and results on the subject are presented (This text is a transcript and adaptation of the author’s homonymous talk (Cohen, Geometric algebra transformers: Revolutionizing geometric data, 2023. YouTube video )).

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Geometric Algebra Transformers: Revolutionizing Geometric Data

  • 会议论文

  • 发表日期：

    2026年

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  • Taco Cohen

摘要

This chapter is devoted to recent advances in geometric deep learning, which aims at applying deep learning techniques to geometric data. More specifically, we focus on geometric algebra transformers, a cutting-edge approach in geometric deep learning. The chapter has two main parts. The first deals with a gentle introduction to the topic, with emphasis on various areas of application, and in the second, the latest work and results on the subject are presented (This text is a transcript and adaptation of the author’s homonymous talk (Cohen, Geometric algebra transformers: Revolutionizing geometric data, 2023. YouTube video )).