General Covariance Data Augmentation for Neural PDE Solvers. - Vladimir Fanaskov; Tianchi Yu; Alexander Rudikov; Ivan V. Oseledets (ICML, 2023)

Security for Distributed Machine Learning. - Laurent Gomez; Tianchi Yu; Patrick Duverger (SECRYPT, 2023)

Astral: training physics-informed neural networks with error majorants. - Vladimir Fanaskov; Tianchi Yu; Alexander Rudikov; Ivan V. Oseledets (CoRR, 2024)

Fourier Spectral Physics Informed Neural Network: An Efficient and Low-Memory PINN. - Tianchi Yu; Yiming Qi; Ivan V. Oseledets; Shiyi Chen (CoRR, 2024)

Sinc Kolmogorov-Arnold Network and Its Applications on Physics-informed Neural Networks. - Tianchi Yu; Jingwei Qiu; Jiang Yang; Ivan V. Oseledets (CoRR, 2024)

Quasi-Random Physics-informed Neural Networks. - Tianchi Yu; Ivan V. Oseledets (CoRR, 2025)