Ekaterina A. Muravleva

According to our database1, Ekaterina A. Muravleva authored at least 12 papers between 2018 and 2025.

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

Timeline

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Bibliography

2025
Can message-passing GNN approximate triangular factorizations of sparse matrices?
CoRR, February, 2025

2024
On the efficient preconditioning of the Stokes equations in tight geometries.
Numer. Linear Algebra Appl., December, 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.
Proceedings of the Uncertainty in Artificial Intelligence, 2024

Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
On the structure of the Schur complement matrix for the Stokes equation.
CoRR, 2023

2022
On a workflow for efficient computation of the permeability of tight sandstones.
CoRR, 2022

2019
Microstructure synthesis using style-based generative adversarial network.
CoRR, 2019

Reconstruction of 3D Porous Media From 2D Slices.
CoRR, 2019

Approximate Solution of Linear Systems with Laplace-like Operators via Cross Approximation in the Frequency Domain.
Comput. Methods Appl. Math., 2019

2018
Data-driven model for the identification of the rock type at a drilling bit.
CoRR, 2018


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