Konstantin Usevich

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 47

Top Topics

Matrix Completion

Symmetric Matrices

Top Venues

SIAM J. Matrix Anal. Appl.

Publications

Konstantin Usevich, Simon Barthelmé
Computing asymptotic eigenvectors and eigenvalues of perturbed symmetric matrices. CoRR (2024)
Julien Flamant, Konstantin Usevich, Marianne Clausel, David Brie
Polarimetric Fourier Phase Retrieval. SIAM J. Imaging Sci. 17 (1) (2024)
Alexandre Audibert, Massih-Reza Amini, Konstantin Usevich, Marianne Clausel
Low-Rank Updates of pre-trained Weights for Multi-Task Learning. ACL (Findings) (2023)
Philippe Flores, Joseph K. Chege, Konstantin Usevich, Martin Haardt, Arie Yeredor, David Brie
Probability Mass Function Estimation Approaches with Application to Flow Cytometry Data Analysis. CAMSAP (2023)
Joppe De Jonghe, Konstantin Usevich, Philippe Dreesen, Mariya Ishteva
Compressing Neural Networks with Two-Layer Decoupling. CAMSAP (2023)
Konstantin Usevich, Julien Flamant, Marianne Clausel, David Brie
On factorization of rank-one auto-correlation matrix polynomials. CoRR (2023)
Jianze Li, Konstantin Usevich, Pierre Comon
Convergence of Gradient-Based Block Coordinate Descent Algorithms for Nonorthogonal Joint Approximate Diagonalization of Matrices. SIAM J. Matrix Anal. Appl. 44 (2) (2023)
Konstantin Usevich
An algebraic algorithm for rank-2 ParaTuck-2 decomposition. CoRR (2023)
Konstantin Usevich, Yassine Zniyed, Mariya Ishteva, Philippe Dreesen, André L. F. de Almeida
Tensor-Based Two-Layer Decoupling of Multivariate Polynomial Maps. EUSIPCO (2023)
R. A. Borsoi, Isabell Lehmann, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Konstantin Usevich, David Brie, Tülay Adali
Coupled CP Tensor Decomposition with Shared and Distinct Components for Multi-Task Fmri Data Fusion. ICASSP (2023)
Jonathan Gillard, Konstantin Usevich
Hankel low-rank approximation and completion in time series analysis and forecasting: a brief review. CoRR (2022)
Simon Barthelmé, Pierre-Olivier Amblard, Nicolas Tremblay, Konstantin Usevich
Gaussian Process Regression in the Flat Limit. CoRR (2022)
Philippe Flores, Guillaume Harlé, Anne-Béatrice Notarantonio, Konstantin Usevich, Maud D'Aveni, Stephanie Grandemange, Marie-Thérèse Rubio, David Brie
Coupled Tensor Factorization for Flow Cytometry Data Analysis. MLSP (2022)
Clémence Prévost, Ricardo Augusto Borsoi, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard
Hyperspectral Super-resolution Accounting for Spectral Variability: Coupled Tensor LL1-Based Recovery and Blind Unmixing of the Unknown Super-resolution Image. SIAM J. Imaging Sci. 15 (1) (2022)
Clémence Prévost, Konstantin Usevich, Martin Haardt, Pierre Comon, David Brie
Constrained Cramér-Rao bounds for reconstruction problems formulated as coupled canonical polyadic decompositions. Signal Process. 198 (2022)
Tommi Muller, Elina Robeva, Konstantin Usevich
Robust Eigenvectors of Symmetric Tensors. SIAM J. Matrix Anal. Appl. 43 (4) (2022)
Ricardo Augusto Borsoi, Clémence Prévost, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard
Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability. IEEE J. Sel. Top. Signal Process. 15 (3) (2021)
Yassine Zniyed, Konstantin Usevich, Sebastian Miron, David Brie
Tensor-based framework for training flexible neural networks. CoRR (2021)
Tommi Muller, Elina Robeva, Konstantin Usevich
Robust Eigenvectors of Symmetric Tensors. CoRR (2021)
Ricardo Augusto Borsoi, Clémence Prévost, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard
Coupled Tensor Models Accounting for Inter-image Variability. ACSCC (2021)
Simon Barthelmé, Konstantin Usevich
Spectral Properties of Kernel Matrices in the Flat Limit. SIAM J. Matrix Anal. Appl. 42 (1) (2021)
Yassine Zniyed, Konstantin Usevich, Sebastian Miron, David Brie
A tensor-based approach for training flexible neural networks. ACSCC (2021)
Jianze Li, Konstantin Usevich, Pierre Comon
On the convergence of Jacobi-type algorithms for Independent Component Analysis. SAM (2020)
Clémence Prévost, Eric Chaumette, Konstantin Usevich, David Brie, Pierre Comon
On Cramér-Rao Lower Bounds with Random Equality Constraints. ICASSP (2020)
Clémence Prévost, Konstantin Usevich, Pierre Comon, David Brie
Hyperspectral Super-Resolution With Coupled Tucker Approximation: Recoverability and SVD-Based Algorithms. IEEE Trans. Signal Process. 68 (2020)
Konstantin Usevich, Philippe Dreesen, Mariya Ishteva
Decoupling multivariate polynomials: Interconnections between tensorizations. J. Comput. Appl. Math. 363 (2020)
Jianze Li, Konstantin Usevich, Pierre Comon
Gradient based block coordinate descent algorithms for joint approximate diagonalization of matrices. CoRR (2020)
Konstantin Usevich, Jianze Li, Pierre Comon
Approximate Matrix and Tensor Diagonalization by Unitary Transformations: Convergence of Jacobi-Type Algorithms. SIAM J. Optim. 30 (4) (2020)
Konstantin Usevich, Ivan Markovsky
Software package for mosaic-Hankel structured low-rank approximation. CDC (2019)
Jianze Li, Konstantin Usevich, Pierre Comon
On the convergence of Jacobi-type algorithms for Independent Component Analysis. CoRR (2019)
Simon Barthelmé, Konstantin Usevich
Spectral properties of kernel matrices in the flat limit. CoRR (2019)
Konstantin Usevich, Jianze Li, Pierre Comon
Approximate matrix and tensor diagonalization by unitary transformations: convergence of Jacobi-type algorithms. CoRR (2019)
Clémence Prévost, Konstantin Usevich, Pierre Comon, Martin Haardt, David Brie
Performance Bounds for Coupled CP Model in the Framework of Hyperspectral Super-Resolution. CAMSAP (2019)
Clémence Prévost, Konstantin Usevich, Pierre Comon, David Brie
Coupled Tensor Low-rank Multilinear Approximation for Hyperspectral Super-resolution. ICASSP (2019)
Jianze Li, Konstantin Usevich, Pierre Comon
Jacobi-type algorithm for low rank orthogonal approximation of symmetric tensors and its convergence analysis. CoRR (2019)
Konstantin Usevich, Valentin Emiya, David Brie, Caroline Chaux
Characterization of Finite Signals with Low-Rank Stft. SSP (2018)
Jonathan Gillard, Konstantin Usevich
Structured low-rank matrix completion for forecasting in time series analysis. CoRR (2018)
Jianze Li, Konstantin Usevich, Pierre Comon
Globally Convergent Jacobi-Type Algorithms for Simultaneous Orthogonal Symmetric Tensor Diagonalization. SIAM J. Matrix Anal. Appl. 39 (1) (2018)
Konstantin Usevich, Ivan Markovsky
Variable projection methods for approximate (greatest) common divisor computations. Theor. Comput. Sci. 681 (2017)
Konstantin Usevich, Souleymen Sahnoun, Pierre Comon
High-Resolution Subspace-Based Methods: Eigenvalue- or Eigenvector-Based Estimation? LVA/ICA (2017)
Souleymen Sahnoun, Konstantin Usevich, Pierre Comon
Multidimensional ESPRIT for Damped and Undamped Signals: Algorithm, Computations, and Perturbation Analysis. IEEE Trans. Signal Process. 65 (22) (2017)
Pierre Comon, Yang Qi, Konstantin Usevich
Identifiability of an X-Rank Decomposition of Polynomial Maps. SIAM J. Appl. Algebra Geom. 1 (1) (2017)
Jianze Li, Konstantin Usevich, Pierre Comon
Globally convergent Jacobi-type algorithms for simultaneous orthogonal symmetric tensor diagonalization. CoRR (2017)
Souleymen Sahnoun, Konstantin Usevich, Pierre Comon
Optimal choice of Hankel-block-Hankel matrix shape in 2-D parameter estimation: The rank-one case. EUSIPCO (2016)
Pierre Comon, Yang Qi, Konstantin Usevich
X-rank and identifiability for a polynomial decomposition model. CoRR (2016)
Miguel Angel Veganzones, Jeremy E. Cohen, Rodrigo Cabral Farias, Konstantin Usevich, Lucas Drumetz, Jocelyn Chanussot, Pierre Comon
Canonical polyadic decomposition of hyperspectral patch tensors. EUSIPCO (2016)
Konstantin Usevich, Pierre Comon
Hankel Low-Rank Matrix Completion: Performance of the Nuclear Norm Relaxation. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
Konstantin Usevich, Pierre Comon
Quasi-Hankel low-rank matrix completion: a convex relaxation. CoRR (2015)
Pierre Comon, Yang Qi, Konstantin Usevich
A Polynomial Formulation for Joint Decomposition of Symmetric Tensors of Different Orders. LVA/ICA (2015)
Anne Van Mulders, Laurent Vanbeylen, Konstantin Usevich
Identification of a block-structured model with several sources of nonlinearity. ECC (2014)
Ivan Markovsky, Konstantin Usevich
Software for weighted structured low-rank approximation. J. Comput. Appl. Math. 256 (2014)
Konstantin Usevich, Ivan Markovsky
Adjusted least squares fitting of algebraic hypersurfaces. CoRR (2014)
Konstantin Usevich, Ivan Markovsky
Variable projection for affinely structured low-rank approximation in weighted 2-norms. J. Comput. Appl. Math. 272 (2014)
Ivan Markovsky, Jan Goos, Konstantin Usevich, Rik Pintelon
Realization and identification of autonomous linear periodically time-varying systems. Autom. 50 (6) (2014)
Konstantin Usevich, Ivan Markovsky
Optimization on a Grassmann manifold with application to system identification. Autom. 50 (6) (2014)
Stephan Rhode, Konstantin Usevich, Ivan Markovsky, Frank Gauterin
A Recursive Restricted Total Least-Squares Algorithm. IEEE Trans. Signal Process. 62 (21) (2014)
Mariya Ishteva, Konstantin Usevich, Ivan Markovsky
Factorization Approach to Structured Low-Rank Approximation with Applications. SIAM J. Matrix Anal. Appl. 35 (3) (2014)
Ivan Markovsky, Konstantin Usevich
Structured Low-Rank Approximation with Missing Data. SIAM J. Matrix Anal. Appl. 34 (2) (2013)
Mariya Ishteva, Konstantin Usevich, Ivan Markovsky
Regularized structured low-rank approximation with applications. CoRR (2013)
Konstantin Usevich, Ivan Markovsky
Variable projection methods for approximate (greatest) common divisor computations CoRR (2013)
Konstantin Usevich, Ivan Markovsky
Variable projection methods for approximate GCD computations. ACM Commun. Comput. Algebra 46 (3/4) (2012)
Nina Golyandina, David M. Holloway, Francisco J. P. Lopes, Alexander V. Spirov, Ekaterina N. Spirova, Konstantin Usevich
Measuring Gene Expression Noise in Early Drosophila Embryos: Nucleus-to-nucleus Variability. ICCS (2012)
David M. Holloway, Francisco J. P. Lopes, Luciano da Fontoura Costa, Bruno Augusto Nassif Travençolo, Nina Golyandina, Konstantin Usevich, Alexander V. Spirov
Segmentation. PLoS Comput. Biol. 7 (2) (2011)