Muravleva, Ekaterina

5 publications

ICLR 2026 Deep Learning for Subspace Regression Vladimir Fanaskov, Vladislav Trifonov, Alexander Rudikov, Ekaterina Muravleva, Ivan Oseledets

ICLR 2026 Locally Subspace-Informed Neural Operators for Efficient Multiscale PDE Solving Alexander Rudikov, Vladimir Fanaskov, Sergei Stepanov, Buzheng Shan, Ekaterina Muravleva, Yalchin Efendiev, Ivan Oseledets

TMLR 2026 Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations Vladislav Trifonov, Ekaterina Muravleva, Ivan Oseledets

ICML 2024 Neural Operators Meet Conjugate Gradients: The FCG-NO Method for Efficient PDE Solving Alexander Rudikov, Vladimir Fanaskov, Ekaterina Muravleva, Yuri M. Laevsky, Ivan Oseledets

UAI 2024 Quantization of Large Language Models with an Overdetermined Basis Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan Oseledets, Ekaterina Muravleva, Aleksandr Mikhalev, Boris Kashin