Ekaterina A. Muravleva

According to our database1, Ekaterina A. Muravleva authored at least 11 papers between 2018 and 2024.

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

Timeline

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Bibliography

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.
CoRR, 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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