From benchmark-centric to human-centric: deep learning methods in the formalisation of mathematics

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• Albert Qiaochu Jiang (University of Cambridge)
• Thursday 16 February 2023, 17:00-18:00
• Centre for Mathematical Sciences MR12, CMS.

If you have a question about this talk, please contact Angeliki Koutsoukou-Argyraki.

A flurry of deep learning for mathematics advances have been made in recent years. However, disproportionally little adoption of deep learning is seen in the practice of formal mathematics. I will argue against the benchmark-centric mindset prevalent in the deep learning community, and present works that build on and enhance human experiences of formal mathematics.

This talk is part of the Formalisation of mathematics with interactive theorem provers series.

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