🧑‍🔬 François Charton

🏛️ Affiliations

🎓École nationale des ponts et chausséesChamps-sur-Marne · France2024–2026 · 9 paperscurrent🔬CERMICSChamps-sur-Marne · France2024–2026 · 4 paperscurrent🎓Palo Alto UniversityPalo Alto · United States2026 · 2 paperscurrent🏢MetaMenlo Park · United States2019–2025 · 10 papers🏢MetaLondon · United Kingdom2019–2021 · 4 papers

🏛️Facebook FranceParis · France2019Employment since 2019 · Visiting Entrepreneur, AI Research

🎓ENSAE ParisPalaiseau · France1987–1990Education 1987–1990🎓École PolytechniquePalaiseau · France1984–1987Education 1984–1987

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Deep Learning for Symbolic Mathematics (2019 · 138 citations)
   Neural networks are usually seen as good at approximate, statistical pattern matching and weak at exact symbolic manipulation.
2. Linear algebra with transformers (2021 · 31 citations)
   Earlier research suggested that sequence models handle numerical work poorly: they struggle with arithmetic and fail outside their training distribution.

All works

10 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Deep Learning for Symbolic MathematicsarXiv:1912.01412Guillaume Lample, François Charton2019 · 138 citations
2. Leveraging Automated Unit Tests for Unsupervised Code Translation ↗arXiv:2110.06773 · no summary yetBaptiste Roziere et al.2022 · 40 citations
3. Régression symbolique de bout en bout avec des transformers. ↗HAL (Le Centre pour la Communication Scientifique Directe) · no summary yetPierre-Alexandre Kamienny et al.2022 · 37 citations
4. Linear algebra with transformersarXiv:2112.01898François Charton2021 · 31 citations
5. Length Generalization in Arithmetic Transformers ↗arXiv:2306.15400 · no summary yetSamy Jelassi et al.2023 · 29 citations
6. Deep Symbolic Regression for Recurrent Sequences ↗arXiv:2201.04600 · no summary yetStéphane d'Ascoli et al.2022 · 27 citations
7. End-to-end symbolic regression with transformers ↗arXiv:2204.10532 · no summary yetPierre-Alexandre Kamienny et al.2022 · 27 citations
8. Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers ↗arXiv:2410.08304 · no summary yetAlberto Alfarano, François Charton, Amaury Hayat2024 · 19 citations
9. Learning advanced mathematical computations from examples ↗arXiv:2006.06462 · no summary yetFrançois Charton, Amaury Hayat, Guillaume Lample2020 · 18 citations
10. What is my math transformer doing? — Three results on interpretability and generalization ↗arXiv:2211.00170 · no summary yetFrançois Charton2022 · 5 citations

🤝 Co-authors here

1 co-author with a page, the most papers together first.

• Guillaume Lample

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• HAL (Le Centre pour la Communication Scientifique Directe)

🔗 Cited by

Papers of our library cite their works 217 times (of the 149,439 papers whose bibliographies we read); 32 citing papers with a page here →.

Updated 2 November 2026

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