Bulletin of the American Mathematical Society 2024 — papers
The works of Bulletin of the American Mathematical Society published in 2024 that our library holds (publisher: American Mathematical Society): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.
Most cited papers
- Mathematics, word problems, common sense, and artificial intelligenceErnest Davis75 citations · our summary
- Mathematics and the formal turn ↗Jeremy D. Avigad16 citations
- Continued fractions in the field of 𝑝-adic numbers ↗Giuliano Romeo10 citations
- Machine Learning and Information Theory Concepts towards an AI MathematicianYoshua Bengio, Nikolay Malkin8 citations · our summary
- Abstraction boundaries and spec driven development in pure mathematics ↗Johan Commelin, Adam Topaz7 citations
- Mathematical reasoning and the computer ↗Kevin Buzzard7 citations
- Some thoughts on automation and mathematical research ↗Akshay Venkatesh7 citations
- Automated mathematics and the reconfiguration of proof and labor ↗Rodrigo Ochigame6 citations
- Compositional sparsity of learnable functions ↗Tomaso Poggio, Maia Fraser6 citations
- Is deep learning a useful tool for the pure mathematician? ↗Geordie Williamson6 citations
All works of the year (38)
- Mathematics, word problems, common sense, and artificial intelligenceErnest Davis75 citations · our summary
- Mathematics and the formal turn ↗Jeremy D. Avigad16 citations
- Continued fractions in the field of 𝑝-adic numbers ↗Giuliano Romeo10 citations
- Machine Learning and Information Theory Concepts towards an AI MathematicianYoshua Bengio, Nikolay Malkin8 citations · our summary
- Abstraction boundaries and spec driven development in pure mathematics ↗Johan Commelin, Adam Topaz7 citations
- Mathematical reasoning and the computer ↗Kevin Buzzard7 citations
- Some thoughts on automation and mathematical research ↗Akshay Venkatesh7 citations
- Automated mathematics and the reconfiguration of proof and labor ↗Rodrigo Ochigame6 citations
- Compositional sparsity of learnable functions ↗Tomaso Poggio, Maia Fraser6 citations
- Is deep learning a useful tool for the pure mathematician? ↗Geordie Williamson6 citations
- Algebraic solutions of linear differential equations: An arithmetic approach ↗Alin Bostan, Xavier Caruso, Julien Roques5 citations
- Poincaré on the value of reasoning machines ↗Colin McLarty5 citations
- Proofs for a price: Tomorrow’s ultra-rigorous mathematical culture ↗Silvia De Toffoli5 citations
- Proof in the time of machines ↗Andrew J. Granville4 citations
- Spectral theory and self-similar blowup in wave equations ↗Roland Donninger3 citations
- Automation compels mathematicians to reflect on our values ↗Michael Harris2 citations
- Functoriality in categorical symplectic geometry ↗Mohammed Abouzaid, Nathaniel Bottman2 citations
- Searching for (sharp) thresholds in random structures: Where are we now? ↗Will Perkins2 citations
- Strange new universes: Proof assistants and synthetic foundations ↗Michael Shulman2 citations
- Will machines change mathematics? ↗Maia Fraser, Andrew J. Granville, Michael Harris et al.2 citations
- A note from the chief editor ↗Alejandro Ádem1 citation
- AlephZero and mathematical experience ↗Simon DeDeo1 citation
- Hilbert meets Ramanujan: Singularity theory and integer partitions ↗Hussein Mourtada1 citation
- How machines can make mathematics more congressive ↗Eugenia Cheng1 citation
- Lagrangian, game theoretic, and PDE methods for averaging G-equations in turbulent combustion: existence and beyond ↗Jack X. Xin, Yifeng Yu, Paul D. Ronney1 citation
See all 38 papers in Bulletin of the American Mathematical Society 2024 — papers →
Works with our summary in our library (1)
- Machine learning and information theory concepts towards an AI MathematicianBulletin of the American Mathematical SocietyYoshua Bengio, Nikolay Malkin2024 · 18 citations
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🔬Mila - Quebec Artificial Intelligence InstituteMontreal ·
Canada1 work here🎓Université de MontréalMontreal ·
Canada1 work here
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