Konstantin Usevich

76 papers Misc 4Journal 53Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computing Asymptotic Eigenvectors and Eigenvalues of Perturbed Symmetric Matrices. SIAM J. Matrix Anal. Appl. Konstantin Usevich, Simon Barthelmé
2026	J	`jnl`	Coupled tensor models for probability mass function estimation: Part I, principles and algorithms. Signal Process. Philippe Flores, Konstantin Usevich, David Brie
2026	J	`jnl`	Coupled tensor models for probability mass function estimation: Part II, uniqueness of the model. Signal Process. Philippe Flores, Konstantin Usevich, David Brie
2026	J	`jnl`	Low-Rank Tensor Decompositions for the Theory of Neural Networks: Understanding deep learning through the lens of tensor formats [Special Issue on the Mathematics of Deep Learning]. IEEE Signal Process. Mag. Ricardo Augusto Borsoi, Konstantin Usevich, Marianne Clausel
2025	J	`jnl`	Identifiability of Deep Polynomial Neural Networks. CoRR Konstantin Usevich, Clara Dérand, Ricardo Augusto Borsoi, Marianne Clausel
2025	J	`jnl`	Low-Rank Tensor Decompositions for the Theory of Neural Networks. CoRR Ricardo Augusto Borsoi, Konstantin Usevich, Marianne Clausel
2025	J	`jnl`	Personalized Coupled Tensor Decomposition for Multimodal Data Fusion: Uniqueness and Algorithms. IEEE Trans. Signal Process. Ricardo Augusto Borsoi, Konstantin Usevich, David Brie, Tülay Adali
2025	—	`conf`	Signal Estimation from Correlation Vectors with Structured Low-Rank Approximation. EUSIPCO Antonio Fazzi, Julien Flamant, Konstantin Usevich
2025	J	`jnl`	Structured Nuclear Norm Matrix Completion: Guaranteeing Exact Recovery via Block-Column Scaling. Numer. Linear Algebra Appl. Konstantin Usevich, Jonathan Gillard, Philippe Dreesen, Ivan Markovsky
2024	—	`conf`	Anomaly Detection Using Multiscale Signatures. EUSIPCO Raphael Mignot, Valerian Mange, Konstantin Usevich, Marianne Clausel, Jean-Yves Tourneret, François Vincent
2024	J	`jnl`	Computing asymptotic eigenvectors and eigenvalues of perturbed symmetric matrices. CoRR Konstantin Usevich, Simon Barthelmé
2024	J	`jnl`	Personalized Coupled Tensor Decomposition for Multimodal Data Fusion: Uniqueness and Algorithms. CoRR Ricardo Augusto Borsoi, Konstantin Usevich, David Brie, Tülay Adali
2024	J	`jnl`	Polarimetric Fourier Phase Retrieval. SIAM J. Imaging Sci. Julien Flamant, Konstantin Usevich, Marianne Clausel, David Brie
2024	J	`jnl`	The Barycenter in Free Nilpotent Lie Groups and Its Application to Iterated-Integrals Signatures. SIAM J. Appl. Algebra Geom. Marianne Clausel, Joscha Diehl, Raphael Mignot, Leonard Schmitz, Nozomi Sugiura, Konstantin Usevich
2023	J	`jnl`	An algebraic algorithm for rank-2 ParaTuck-2 decomposition. CoRR Konstantin Usevich
2023	—	`conf`	Compressing Neural Networks with Two-Layer Decoupling. CAMSAP Joppe De Jonghe, Konstantin Usevich, Philippe Dreesen, Mariya Ishteva
2023	J	`jnl`	Convergence of Gradient-Based Block Coordinate Descent Algorithms for Nonorthogonal Joint Approximate Diagonalization of Matrices. SIAM J. Matrix Anal. Appl. Jianze Li, Konstantin Usevich, Pierre Comon
2023	Misc	`conf`	Coupled CP Tensor Decomposition with Shared and Distinct Components for Multi-Task Fmri Data Fusion. ICASSP R. A. Borsoi, Isabell Lehmann, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Konstantin Usevich, David Brie, Tülay Adali
2023	—	`conf`	Low-Rank Updates of pre-trained Weights for Multi-Task Learning. ACL (Findings) Alexandre Audibert, Massih-Reza Amini, Konstantin Usevich, Marianne Clausel
2023	J	`jnl`	On factorization of rank-one auto-correlation matrix polynomials. CoRR Konstantin Usevich, Julien Flamant, Marianne Clausel, David Brie
2023	—	`conf`	Probability Mass Function Estimation Approaches with Application to Flow Cytometry Data Analysis. CAMSAP Philippe Flores, Joseph K. Chege, Konstantin Usevich, Martin Haardt, Arie Yeredor, David Brie
2023	—	`conf`	Tensor-Based Two-Layer Decoupling of Multivariate Polynomial Maps. EUSIPCO Konstantin Usevich, Yassine Zniyed, Mariya Ishteva, Philippe Dreesen, André L. F. de Almeida
2022	J	`jnl`	Constrained Cramér-Rao bounds for reconstruction problems formulated as coupled canonical polyadic decompositions. Signal Process. Clémence Prévost, Konstantin Usevich, Martin Haardt, Pierre Comon, David Brie
2022	—	`conf`	Coupled Tensor Factorization for Flow Cytometry Data Analysis. MLSP Philippe Flores, Guillaume Harlé, Anne-Béatrice Notarantonio, Konstantin Usevich, Maud D'Aveni, Stephanie Grandemange, Marie-Thérèse Rubio, David Brie
2022	J	`jnl`	Gaussian Process Regression in the Flat Limit. CoRR Simon Barthelmé, Pierre-Olivier Amblard, Nicolas Tremblay, Konstantin Usevich
2022	J	`jnl`	Hankel low-rank approximation and completion in time series analysis and forecasting: a brief review. CoRR Jonathan Gillard, Konstantin Usevich
2022	J	`jnl`	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. Clémence Prévost, Ricardo Augusto Borsoi, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard
2022	J	`jnl`	Robust Eigenvectors of Symmetric Tensors. SIAM J. Matrix Anal. Appl. Tommi Muller, Elina Robeva, Konstantin Usevich
2021	—	`conf`	A tensor-based approach for training flexible neural networks. ACSCC Yassine Zniyed, Konstantin Usevich, Sebastian Miron, David Brie
2021	J	`jnl`	Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion With Inter-Image Variability. IEEE J. Sel. Top. Signal Process. Ricardo Augusto Borsoi, Clémence Prévost, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard
2021	—	`conf`	Coupled Tensor Models Accounting for Inter-image Variability. ACSCC Ricardo Augusto Borsoi, Clémence Prévost, Konstantin Usevich, David Brie, José C. M. Bermudez, Cédric Richard
2021	J	`jnl`	Robust Eigenvectors of Symmetric Tensors. CoRR Tommi Muller, Elina Robeva, Konstantin Usevich
2021	J	`jnl`	Spectral Properties of Kernel Matrices in the Flat Limit. SIAM J. Matrix Anal. Appl. Simon Barthelmé, Konstantin Usevich
2021	J	`jnl`	Tensor-based framework for training flexible neural networks. CoRR Yassine Zniyed, Konstantin Usevich, Sebastian Miron, David Brie
2020	J	`jnl`	Approximate Matrix and Tensor Diagonalization by Unitary Transformations: Convergence of Jacobi-Type Algorithms. SIAM J. Optim. Konstantin Usevich, Jianze Li, Pierre Comon
2020	J	`jnl`	Decoupling multivariate polynomials: Interconnections between tensorizations. J. Comput. Appl. Math. Konstantin Usevich, Philippe Dreesen, Mariya Ishteva
2020	J	`jnl`	Gradient based block coordinate descent algorithms for joint approximate diagonalization of matrices. CoRR Jianze Li, Konstantin Usevich, Pierre Comon
2020	J	`jnl`	Hyperspectral Super-Resolution With Coupled Tucker Approximation: Recoverability and SVD-Based Algorithms. IEEE Trans. Signal Process. Clémence Prévost, Konstantin Usevich, Pierre Comon, David Brie
2020	Misc	`conf`	On Cramér-Rao Lower Bounds with Random Equality Constraints. ICASSP Clémence Prévost, Eric Chaumette, Konstantin Usevich, David Brie, Pierre Comon
2020	—	`conf`	On the convergence of Jacobi-type algorithms for Independent Component Analysis. SAM Jianze Li, Konstantin Usevich, Pierre Comon
2019	J	`jnl`	Approximate matrix and tensor diagonalization by unitary transformations: convergence of Jacobi-type algorithms. CoRR Konstantin Usevich, Jianze Li, Pierre Comon
2019	Misc	`conf`	Coupled Tensor Low-rank Multilinear Approximation for Hyperspectral Super-resolution. ICASSP Clémence Prévost, Konstantin Usevich, Pierre Comon, David Brie
2019	J	`jnl`	Jacobi-type algorithm for low rank orthogonal approximation of symmetric tensors and its convergence analysis. CoRR Jianze Li, Konstantin Usevich, Pierre Comon
2019	J	`jnl`	On the convergence of Jacobi-type algorithms for Independent Component Analysis. CoRR Jianze Li, Konstantin Usevich, Pierre Comon
2019	—	`conf`	Performance Bounds for Coupled CP Model in the Framework of Hyperspectral Super-Resolution. CAMSAP Clémence Prévost, Konstantin Usevich, Pierre Comon, Martin Haardt, David Brie
2019	—	`conf`	Software package for mosaic-Hankel structured low-rank approximation. CDC Konstantin Usevich, Ivan Markovsky
2019	J	`jnl`	Spectral properties of kernel matrices in the flat limit. CoRR Simon Barthelmé, Konstantin Usevich
2018	—	`conf`	Characterization of Finite Signals with Low-Rank Stft. SSP Konstantin Usevich, Valentin Emiya, David Brie, Caroline Chaux
2018	J	`jnl`	Globally Convergent Jacobi-Type Algorithms for Simultaneous Orthogonal Symmetric Tensor Diagonalization. SIAM J. Matrix Anal. Appl. Jianze Li, Konstantin Usevich, Pierre Comon
2018	J	`jnl`	Structured low-rank matrix completion for forecasting in time series analysis. CoRR Jonathan Gillard, Konstantin Usevich
2017	J	`jnl`	Globally convergent Jacobi-type algorithms for simultaneous orthogonal symmetric tensor diagonalization. CoRR Jianze Li, Konstantin Usevich, Pierre Comon
2017	—	`conf`	High-Resolution Subspace-Based Methods: Eigenvalue- or Eigenvector-Based Estimation? LVA/ICA Konstantin Usevich, Souleymen Sahnoun, Pierre Comon
2017	J	`jnl`	Identifiability of an X-Rank Decomposition of Polynomial Maps. SIAM J. Appl. Algebra Geom. Pierre Comon, Yang Qi, Konstantin Usevich
2017	J	`jnl`	Multidimensional ESPRIT for Damped and Undamped Signals: Algorithm, Computations, and Perturbation Analysis. IEEE Trans. Signal Process. Souleymen Sahnoun, Konstantin Usevich, Pierre Comon
2017	J	`jnl`	Variable projection methods for approximate (greatest) common divisor computations. Theor. Comput. Sci. Konstantin Usevich, Ivan Markovsky
2016	—	`conf`	Canonical polyadic decomposition of hyperspectral patch tensors. EUSIPCO Miguel Angel Veganzones, Jeremy E. Cohen, Rodrigo Cabral Farias, Konstantin Usevich, Lucas Drumetz, Jocelyn Chanussot, Pierre Comon
2016	J	`jnl`	Hankel Low-Rank Matrix Completion: Performance of the Nuclear Norm Relaxation. IEEE J. Sel. Top. Signal Process. Konstantin Usevich, Pierre Comon
2016	—	`conf`	Optimal choice of Hankel-block-Hankel matrix shape in 2-D parameter estimation: The rank-one case. EUSIPCO Souleymen Sahnoun, Konstantin Usevich, Pierre Comon
2016	J	`jnl`	X-rank and identifiability for a polynomial decomposition model. CoRR Pierre Comon, Yang Qi, Konstantin Usevich
2015	—	`conf`	A Polynomial Formulation for Joint Decomposition of Symmetric Tensors of Different Orders. LVA/ICA Pierre Comon, Yang Qi, Konstantin Usevich
2015	J	`jnl`	Quasi-Hankel low-rank matrix completion: a convex relaxation. CoRR Konstantin Usevich, Pierre Comon
2014	J	`jnl`	A Recursive Restricted Total Least-Squares Algorithm. IEEE Trans. Signal Process. Stephan Rhode, Konstantin Usevich, Ivan Markovsky, Frank Gauterin
2014	J	`jnl`	Adjusted least squares fitting of algebraic hypersurfaces. CoRR Konstantin Usevich, Ivan Markovsky
2014	J	`jnl`	Factorization Approach to Structured Low-Rank Approximation with Applications. SIAM J. Matrix Anal. Appl. Mariya Ishteva, Konstantin Usevich, Ivan Markovsky
2014	—	`conf`	Identification of a block-structured model with several sources of nonlinearity. ECC Anne Van Mulders, Laurent Vanbeylen, Konstantin Usevich
2014	—	`ch.`	Nonlinearly Structured Low-Rank Approximation. Low-Rank and Sparse Modeling for Visual Analysis Ivan Markovsky, Konstantin Usevich
2014	J	`jnl`	Optimization on a Grassmann manifold with application to system identification. Autom. Konstantin Usevich, Ivan Markovsky
2014	J	`jnl`	Realization and identification of autonomous linear periodically time-varying systems. Autom. Ivan Markovsky, Jan Goos, Konstantin Usevich, Rik Pintelon
2014	J	`jnl`	Software for weighted structured low-rank approximation. J. Comput. Appl. Math. Ivan Markovsky, Konstantin Usevich
2014	J	`jnl`	Variable projection for affinely structured low-rank approximation in weighted 2-norms. J. Comput. Appl. Math. Konstantin Usevich, Ivan Markovsky
2013	J	`jnl`	Regularized structured low-rank approximation with applications. CoRR Mariya Ishteva, Konstantin Usevich, Ivan Markovsky
2013	J	`jnl`	Structured Low-Rank Approximation with Missing Data. SIAM J. Matrix Anal. Appl. Ivan Markovsky, Konstantin Usevich
2013	J	`jnl`	Variable projection methods for approximate (greatest) common divisor computations CoRR Konstantin Usevich, Ivan Markovsky
2012	Misc	`conf`	Measuring Gene Expression Noise in Early Drosophila Embryos: Nucleus-to-nucleus Variability. ICCS Nina Golyandina, David M. Holloway, Francisco J. P. Lopes, Alexander V. Spirov, Ekaterina N. Spirova, Konstantin Usevich
2012	J	`jnl`	Variable projection methods for approximate GCD computations. ACM Commun. Comput. Algebra Konstantin Usevich, Ivan Markovsky
2011	J	`jnl`	Gene Expression Noise in Spatial Patterning: PLoS Comput. Biol. David M. Holloway, Francisco J. P. Lopes, Luciano da Fontoura Costa, Bruno Augusto Nassif Travençolo, Nina Golyandina, Konstantin Usevich, Alexander V. Spirov