Oseledets, Ivan

Unifying time evolution and optimization with matrix product states

Haegeman, J., Lubich, C., Oseledets, I., Vandereycken, B., & Verstraete, F. (2016) · Physical Review B

Quantum many-body systemsQuantum Computing Algorithms and Architecture

Cited by 804

Approximation of $2^d\times2^d$ Matrices Using Tensor Decomposition

Oseledets, I. V. (2010) · SIAM Journal on Matrix Analysis and Applications

Tensor decomposition and applicationsMatrix Theory and Algorithms

Cited by 174

Deep neural networks predicting oil movement in a development unit

Temirchev, P., Simonov, M., Kostoev, R., Burnaev, E., Oseledets, I., Akhmetov, A., Margarit, A., Sitnikov, A., & Koroteev, D. (2020) · Journal of Petroleum Science and Engineering

Reservoir Engineering and Simulation MethodsModel Reduction and Neural Networks

Cited by 75

MULAN: multimodal protein language model for sequence and structure encoding

Frolova, D., Pak, M., Litvin, A., Sharov, I., Ivankov, D., & Oseledets, I. (2024) · Bioinformatics Advances

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 12

MULAN: Multimodal Protein Language Model for Sequence and Structure Encoding

Frolova, D., Pak, M. A., Litvin, A., Sharov, I., Ivankov, D. N., & Oseledets, I. (2024) · Bioinformatics Advances

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 12

Application of Machine Learning Technologies for Rapid 3D Modelling of Inflow to the Well in the Development System

Simonov, M., Akhmetov, A., Temirchev, P., Koroteev, D., Kostoev, R., Burnaev, E., & Oseledets, I. (2018) · SPE Russian Petroleum Technology Conference

Reservoir Engineering and Simulation MethodsEnhanced Oil Recovery Techniques

Cited by 5