Alexander Rudikov

According to our database, Alexander Rudikov authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations.

Vladislav Trifonov, Alexander Rudikov, Oleg Iliev, Ivan V. Oseledets, Ekaterina A. Muravleva

CoRR, 2024

Astral: training physics-informed neural networks with error majorants.

Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets

CoRR, 2024

Learning from Linear Algebra: A Graph Neural Network Approach to Preconditioner Design for Conjugate Gradient Solvers.

Vladislav Trifonov, Alexander Rudikov, Oleg Iliev, Ivan V. Oseledets, Ekaterina A. Muravleva

CoRR, 2024

Quantization of Large Language Models with an Overdetermined Basis.

Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan V. Oseledets, Ekaterina A. Muravleva, Aleksandr Mikhalev, Boris Kashin

CoRR, 2024

Neural functional a posteriori error estimates.

Vladimir Fanaskov, Alexander Rudikov, Ivan V. Oseledets

CoRR, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

General Covariance Data Augmentation for Neural PDE Solvers.

Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets

Proceedings of the International Conference on Machine Learning, 2023