Scaling transformation of the multimode nonlinear Schrödinger equation for physics-informed neural networks. - Ivan Chuprov; Dmitry S. Efremenko; Jiexing Gao; Pavel Anisimov; Viacheslav V. Zemlyakov (CoRR, 2022)

Hybrid acceleration techniques for the physics-informed neural networks: a comparative analysis. - Fedor Buzaev; Jiexing Gao; Ivan Chuprov; Evgeniy Kazakov (Mach. Learn., 2024)

Application of Physics-Informed Neural Networks for Solving the Inverse Advection-Diffusion Problem to Localize Pollution Sources. - Ivan Chuprov; Denis Derkach; Dmitry S. Efremenko; Aleksei Kychkin (CoRR, 2025)