Alexander Rudikov

According to our database1, Alexander Rudikov authored at least 6 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations.
CoRR, 2024

Learning from Linear Algebra: A Graph Neural Network Approach to Preconditioner Design for Conjugate Gradient Solvers.
CoRR, 2024

Quantization of Large Language Models with an Overdetermined Basis.
CoRR, 2024

Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving.
CoRR, 2024

Neural functional a posteriori error estimates.
CoRR, 2024

2023
General Covariance Data Augmentation for Neural PDE Solvers.
Proceedings of the International Conference on Machine Learning, 2023


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