Neural Multigrid Architectures. - Vladimir Fanaskov (IJCNN, 2021)

Uncertainty calibration for probabilistic projection methods. - Vladimir Fanaskov (Stat. Comput., 2021)

Spectral Neural Operators. - Vladimir Fanaskov; Ivan V. Oseledets (CoRR, 2022)

Direct optimization of BPX preconditioners. - Ivan V. Oseledets; Vladimir Fanaskov (J. Comput. Appl. Math., 2022)

Gaussian Belief Propagation Solvers for Nonsymmetric Systems of Linear Equations. - Vladimir Fanaskov (SIAM J. Sci. Comput., 2022)

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

Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving. - Alexander Rudikov; Vladimir Fanaskov; Ekaterina A. Muravleva; Yuri M. Laevsky; Ivan V. Oseledets (ICML, 2024)

Neural functional a posteriori error estimates. - Vladimir Fanaskov; Alexander Rudikov; Ivan V. Oseledets (CoRR, 2024)

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

Associative memory and dead neurons. - Vladimir Fanaskov; Ivan V. Oseledets (ICLR, 2025)

Binding threshold units with artificial oscillatory neurons. - Vladimir Fanaskov; Ivan V. Oseledets (CoRR, 2025)

Locally Subspace-Informed Neural Operators for Efficient Multiscale PDE Solving. - Alexander Rudikov; Vladimir Fanaskov; Sergei Stepanov; Buzheng Shan; Ekaterina A. Muravleva; Yalchin Efendiev; Ivan V. Oseledets (CoRR, 2025)