This page shows the most relevant public items for Mathematics, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Book • Dec 5, 2023 • Amazon • Simon J.D. Prince
Grasping the true mechanics of deep learning requires a clear visualization of complex mathematical transformations. This highly visual textbook covers foundational neural networks and visual appli...
Paper • Feb 21, 2026 • arXiv • Albert Q. Jiang, Wenda Li, Kuhu Syal
Automated theorem proving requires a blend of creative intuition and rigorous logical deduction which eludes pure deep learning models. We propose a framework that marries the creative search capab...
Paper • Mar 21, 2025 • arXiv • Albert Q. Jiang, Wenda Li, Szymon Tworkowski, Kuhu Syal
Automated theorem proving requires a blend of creative intuition and rigorous logical deduction, a combination that eludes pure deep learning models. We propose a Neurosymbolic Agentic AI framework...
Paper • Oct 5, 2022 • Nature • Alhussein Fawzi, Matej Balog, Aja Huang, Thomas Hubert, Pushmeet Kohli
Matrix multiplication is a fundamental computational task, heavily utilized in neural networks, scientific computing, and graphics. Despite its ubiquity, finding optimal algorithms for matrix multi...
Paper • Jan 17, 2024 • Nature • Trieu Trinh, Yuhuai Wu, Quoc V. Le, He He, Thang Luong
Proving mathematical theorems requires deep logical reasoning and intuition, representing a grand challenge for AI. We introduce AlphaGeometry, a neuro-symbolic system that solves complex geometry ...
Paper • Dec 14, 2023 • Nature • Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, Pushmeet Kohli
Large language models (LLMs) have demonstrated impressive capabilities in code generation, but their ability to discover novel mathematical knowledge has been limited by hallucinations and lack of ...
It ranks public content for Mathematics using recent discussion, review, and engagement signals so you can triage faster. This guidance is specific to Mathematics topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
Use weekly for fast-moving updates, monthly for stable trend confirmation, and all-time for evergreen references. This guidance is specific to Mathematics topic page on Attendemia and is written so it still makes sense without reading other sections on the page.
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