activity
20102024
most citedUnifying time evolution and optimization with matrix product states

815 citations · 3.2k across the 142 of their papers we have counts for

collaborators
Showing 2015Show all

7 papers · 1 filter

math.NA2015★ 23 cited

Grid-based electronic structure calculations: the tensor decomposition approach

Maxim Rakhuba, Ivan Oseledets

We present a fully grid-based approach for solving Hartree-Fock and all-electron Kohn-Sham equations based on low-rank approximation of three-dimensional electron orbitals. Due to…

physics.comp-ph2015★ 7 cited

Fast low-rank approximations of multidimensional integrals in ion-atomic collisions modelling

M. S. Litsarev, I. V. Oseledets

An efficient technique based on low-rank separated approximations is proposed for computation of three-dimensional integrals arising in the energy deposition model that describes i…

math.NA2015★ 6 cited

A low-rank approach to the computation of path integrals

M. S. Litsarev, I. V. Oseledets

We present a method for solving the reaction-diffusion equation with general potential in free space. It is based on the approximation of the Feynman-Kac formula by a sequence of c…

math.OC2015★ 2 cited

Toward Fast Topological-Shape Optimization With Boundary Elements

Igor Ostanin, Denis Zorin, Ivan Oseledets

Wide variety of engineering design tasks can be formulated as constrained optimization problems where the shape and topology of the domain are optimized to reduce costs while satis…

cs.DS2015★ 1 cited

Linear complexity SimRank computation based on the iterative diagonal estimation

I. V. Oseledets, G. V. Ovchinnikov, A. M. Katrutsa

This paper presents a deterministic linear time complexity IDE-SimRank method to approximately compute SimRank with proved error bound. SimRank is a well-known similarity measure b…

cs.AI2015

Tensor SimRank for Heterogeneous Information Networks

Ben Usman, Ivan Oseledets

We propose a generalization of SimRank similarity measure for heterogeneous information networks. Given the information network, the intraclass similarity score s(a, b) is high if…