Mathematics & AI

Mathematics & AI is an open-access, peer-reviewed journal at the intersection of mathematics and artificial intelligence. The journal publishes original research in mathematical foundations of AI, machine learning theory, optimization, statistical learning, neural network analysis, computational mat...

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Vol. 1, No. 1 (2026) — MathAI 2025 Selected Papers

Special Issue EN APC: Free Deadline: 09 May 2026

Selected papers from the Mathematics of AI 2025 Conference. This special issue features original research exploring mathematical foundations of artificial intelligence, including optimization theory, statistical learning, approximation theory, and computational mathematics for modern AI systems.

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Articles (5)

THE POWER OF TASK-BASED APPROACH IN BUILDING TRUSTWORTHY AI SYSTEMS

Andrey Nechesov, Evgenii Vityaev, Dmitry Sviridenko, Sergey Goncharov

Art. 1

Application of blurry models for semantic modelling of object domains

Gulnara Yakhyaeva

Art. 13

Using Knowledge Graph in Adapting Language Model on Mathematical Texts

Oli Ataeva, Tuchkova

Art. 16

Random forest regression and Shapley additive explanation for effective dose rate estimation in high-energy neutron fields based on Bonner spectrometer measurements

Konstantin Chizhov, A. Belyi, M. Starikovskaya

Art. 18

Separate Adjustment of Linear and Nonlinear Parameters in Neural Network Training

Alex Lecxis, Smolin Vladimir, Sergei Sokolov

Art. 30