Alexander Rudikov

12 papers A* 2A 1Journal 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep Learning for Subspace Regression.
CoRR
Vladimir Fanaskov, Vladislav Trifonov, Alexander Rudikov, Ekaterina A. Muravleva, Ivan V. Oseledets
2025 J jnl
Locally Subspace-Informed Neural Operators for Efficient Multiscale PDE Solving.
CoRR
Alexander Rudikov, Vladimir Fanaskov, Sergei Stepanov, Buzheng Shan, Ekaterina A. Muravleva, Yalchin Efendiev, Ivan V. Oseledets
2024 J jnl
Astral: training physics-informed neural networks with error majorants.
CoRR
Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets
2024 J jnl
ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations.
CoRR
Vladislav Trifonov, Alexander Rudikov, Oleg Iliev, Ivan V. Oseledets, Ekaterina A. Muravleva
2024 J jnl
Learning from Linear Algebra: A Graph Neural Network Approach to Preconditioner Design for Conjugate Gradient Solvers.
CoRR
Vladislav Trifonov, Alexander Rudikov, Oleg Iliev, Ivan V. Oseledets, Ekaterina A. Muravleva
2024 J jnl
Neural functional a posteriori error estimates.
CoRR
Vladimir Fanaskov, Alexander Rudikov, Ivan V. Oseledets
2024 A* conf
Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving.
ICML
Alexander Rudikov, Vladimir Fanaskov, Ekaterina A. Muravleva, Yuri M. Laevsky, Ivan V. Oseledets
2024 J jnl
Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving.
CoRR
Alexander Rudikov, Vladimir Fanaskov, Ekaterina A. Muravleva, Yuri M. Laevsky, Ivan V. Oseledets
2024 A conf
Quantization of Large Language Models with an Overdetermined Basis.
UAI
Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan V. Oseledets, Ekaterina A. Muravleva, Aleksandr Mikhalev, Boris Kashin
2024 J jnl
Quantization of Large Language Models with an Overdetermined Basis.
CoRR
Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan V. Oseledets, Ekaterina A. Muravleva, Aleksandr Mikhalev, Boris Kashin
2023 A* conf
General Covariance Data Augmentation for Neural PDE Solvers.
ICML
Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets
2023 J jnl
General Covariance Data Augmentation for Neural PDE Solvers.
CoRR
Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets