Is deep learning a useful tool for the pure mathematician?
Not on the map. Why?
Abstract (arXiv)
A personal and informal account of what a pure mathematician might expect when using tools from deep learning in their research.
Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 12 of its 49 references that are in the map. First posted on arXiv 25 Apr 2023.
Builds on
12 of 49 references.
References · 12
- 2017Attention Is All You Needcited by 60,361
- 2021On the Opportunities and Risks of Foundation Modelscited by 4,033
- 2018Reconciling modern machine learning practice and the bias-variance trade-offcited by 927
- 2022Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofscited by 291
- 2021Proof Artifact Co-training for Theorem Proving with Language Modelscited by 132
- 2021Linear algebra with transformerscited by 63
- 2021Constructions in combinatorics via neural networkscited by 48
- 2020Learning selection strategies in Buchberger's algorithmcited by 20
- 2019Learning Algebraic Structures: Preliminary Investigationscited by 15
- 2021The signature and cusp geometry of hyperbolic knotscited by 8
- 2020Deep Learning Gauss-Manin Connectionscited by 4
- 2021Learning proofs for the classification of nilpotent semigroupscited by 1
Built on by
Citing papers per year: 2023: 6; 2024: 1; 2025: 4; 2026: 3.
14 papers.
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- 2023How does over-squashing affect the power of GNNs?cited by 53
- 2023Asynchronous Algorithmic Alignment with Cocyclescited by 13
- 2023Machine learning detects terminal singularitiescited by 9
- 2023Large Language Models for Mathematicianscited by 7
- 2024A Triumvirate of AI Driven Theoretical Discoverycited by 5
- 2025Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?cited by 4
- 2023Machine learning assisted exploration for affine Deligne-Lusztig varietiescited by 3
- 2023Adaptive Monte Carlo Search for Conjecture Refutation in Graph Theorycited by 1
- 2025Explaining Deep Network Classification of Matrices: A Case Study on Monotonicitycited by 1
- 2026Mapping Uncharted Symmetries: Machine Discovery in Combinatoricscited by 1
- 2025Colored Jones Polynomials and the Volume Conjecturecited by 0
- 2025A Hybrid Framework for Healing Semigroups with Machine Learningcited by 0
- 2026Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial20 Jul 2026
- 2026Mapping Uncharted Symmetries: Machine Discovery in Combinatorics18 May 2026
- 2026Murmurations: a case study in AI-assisted mathematics10 Mar 2026
- 2025A Hybrid Framework for Healing Semigroups with Machine Learning1 Sep 2025
- 2025Explaining Deep Network Classification of Matrices: A Case Study on Monotonicity30 Jul 2025
- 2025Colored Jones Polynomials and the Volume Conjecture25 Feb 2025
- 2025Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?30 Jan 2025
- 2024A Triumvirate of AI Driven Theoretical Discovery30 May 2024
- 2023Large Language Models for Mathematicians7 Dec 2023
- 2023Machine learning detects terminal singularities31 Oct 2023
- 2023Machine learning assisted exploration for affine Deligne-Lusztig varieties22 Aug 2023
- 2023Asynchronous Algorithmic Alignment with Cocycles27 Jun 2023
2 more
- 2023How does over-squashing affect the power of GNNs?cited by 53
- 2023Asynchronous Algorithmic Alignment with Cocyclescited by 13
- 2023Machine learning detects terminal singularitiescited by 9
- 2023Large Language Models for Mathematicianscited by 7
- 2024A Triumvirate of AI Driven Theoretical Discoverycited by 5
- 2025Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?cited by 4
- 2023Machine learning assisted exploration for affine Deligne-Lusztig varietiescited by 3
- 2023Adaptive Monte Carlo Search for Conjecture Refutation in Graph Theorycited by 1
- 2025Explaining Deep Network Classification of Matrices: A Case Study on Monotonicitycited by 1
- 2026Mapping Uncharted Symmetries: Machine Discovery in Combinatoricscited by 1
- 2025Colored Jones Polynomials and the Volume Conjecturecited by 0
- 2025A Hybrid Framework for Healing Semigroups with Machine Learningcited by 0
12 most cited of 14 All 14 (JSON)
- 2026Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial20 Jul 2026
- 2026Mapping Uncharted Symmetries: Machine Discovery in Combinatorics18 May 2026
- 2026Murmurations: a case study in AI-assisted mathematics10 Mar 2026
- 2025A Hybrid Framework for Healing Semigroups with Machine Learning1 Sep 2025
- 2025Explaining Deep Network Classification of Matrices: A Case Study on Monotonicity30 Jul 2025
- 2025Colored Jones Polynomials and the Volume Conjecture25 Feb 2025
- 2025Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?30 Jan 2025
- 2024A Triumvirate of AI Driven Theoretical Discovery30 May 2024
- 2023Large Language Models for Mathematicians7 Dec 2023
- 2023Machine learning detects terminal singularities31 Oct 2023
- 2023Machine learning assisted exploration for affine Deligne-Lusztig varieties22 Aug 2023
- 2023Asynchronous Algorithmic Alignment with Cocycles27 Jun 2023
12 newest of 14 All 14 (JSON)