default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDKonstantin Usevich
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j25]Marianne Clausel, Joscha Diehl, Raphael Mignot, Leonard Schmitz, Nozomi Sugiura
, Konstantin Usevich:
The Barycenter in Free Nilpotent Lie Groups and Its Application to Iterated-Integrals Signatures. SIAM J. Appl. Algebra Geom. 8(3): 519-552 (2024)- [j24]Julien Flamant, Konstantin Usevich, Marianne Clausel, David Brie:
Polarimetric Fourier Phase Retrieval. SIAM J. Imaging Sci. 17(1): 632-671 (2024) - [c21]Raphael Mignot, Valerian Mange, Konstantin Usevich, Marianne Clausel, Jean-Yves Tourneret, François Vincent:
Anomaly Detection Using Multiscale Signatures. EUSIPCO 2024: 2757-2761 - [i19]Konstantin Usevich, Simon Barthelmé:
Computing asymptotic eigenvectors and eigenvalues of perturbed symmetric matrices. CoRR abs/2407.17047 (2024) - 2023
- [j23]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): 592-621 (2023) - [c20]Alexandre Audibert, Massih-Reza Amini, Konstantin Usevich, Marianne Clausel:
Low-Rank Updates of pre-trained Weights for Multi-Task Learning. ACL (Findings) 2023: 7544-7554 - [c19]Joppe De Jonghe, Konstantin Usevich, Philippe Dreesen, Mariya Ishteva:
Compressing Neural Networks with Two-Layer Decoupling. CAMSAP 2023: 226-230 - [c18]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: 451-455 - [c17]Konstantin Usevich, Yassine Zniyed, Mariya Ishteva, Philippe Dreesen, André L. F. de Almeida:
Tensor-Based Two-Layer Decoupling of Multivariate Polynomial Maps. EUSIPCO 2023: 655-659 - [c16]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: 1-5 - [i18]Konstantin Usevich:
An algebraic algorithm for rank-2 ParaTuck-2 decomposition. CoRR abs/2302.00922 (2023) - [i17]Konstantin Usevich, Julien Flamant, Marianne Clausel, David Brie:
On factorization of rank-one auto-correlation matrix polynomials. CoRR abs/2308.15106 (2023) - 2022
- [j22]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): 110-138 (2022) - [j21]Tommi Muller, Elina Robeva, Konstantin Usevich:
Robust Eigenvectors of Symmetric Tensors. SIAM J. Matrix Anal. Appl. 43(4): 1784-1805 (2022) - [j20]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: 108573 (2022) - [c15]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: 1-6 - [i16]Simon Barthelmé, Pierre-Olivier Amblard, Nicolas Tremblay, Konstantin Usevich:
Gaussian Process Regression in the Flat Limit. CoRR abs/2201.01074 (2022) - [i15]Jonathan Gillard, Konstantin Usevich:
Hankel low-rank approximation and completion in time series analysis and forecasting: a brief review. CoRR abs/2206.05103 (2022) - 2021
- [j19]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): 702-717 (2021) - [j18]Simon Barthelmé, Konstantin Usevich:
Spectral Properties of Kernel Matrices in the Flat Limit. SIAM J. Matrix Anal. Appl. 42(1): 17-57 (2021) - [c14]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: 1586-1590 - [c13]Yassine Zniyed, Konstantin Usevich, Sebastian Miron, David Brie:
A tensor-based approach for training flexible neural networks. ACSCC 2021: 1673-1677 - [i14]Yassine Zniyed, Konstantin Usevich, Sebastian Miron, David Brie:
Tensor-based framework for training flexible neural networks. CoRR abs/2106.13542 (2021) - [i13]Tommi Muller, Elina Robeva, Konstantin Usevich:
Robust Eigenvectors of Symmetric Tensors. CoRR abs/2111.06880 (2021) - 2020
- [j17]Konstantin Usevich, Philippe Dreesen, Mariya Ishteva:
Decoupling multivariate polynomials: Interconnections between tensorizations. J. Comput. Appl. Math. 363: 22-34 (2020) - [j16]Konstantin Usevich, Jianze Li, Pierre Comon:
Approximate Matrix and Tensor Diagonalization by Unitary Transformations: Convergence of Jacobi-Type Algorithms. SIAM J. Optim. 30(4): 2998-3028 (2020) - [j15]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: 931-946 (2020) - [c12]Clémence Prévost, Eric Chaumette, Konstantin Usevich, David Brie, Pierre Comon:
On Cramér-Rao Lower Bounds with Random Equality Constraints. ICASSP 2020: 5355-5359 - [c11]Jianze Li, Konstantin Usevich, Pierre Comon:
On the convergence of Jacobi-type algorithms for Independent Component Analysis. SAM 2020: 1-5 - [i12]Jianze Li, Konstantin Usevich, Pierre Comon:
Gradient based block coordinate descent algorithms for joint approximate diagonalization of matrices. CoRR abs/2009.13377 (2020)
2010 – 2019
- 2019
- [c10]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: 201-205 - [c9]Konstantin Usevich, Ivan Markovsky:
Software package for mosaic-Hankel structured low-rank approximation. CDC 2019: 7165-7170 - [c8]Clémence Prévost, Konstantin Usevich, Pierre Comon, David Brie:
Coupled Tensor Low-rank Multilinear Approximation for Hyperspectral Super-resolution. ICASSP 2019: 5536-5540 - [i11]Konstantin Usevich, Jianze Li, Pierre Comon:
Approximate matrix and tensor diagonalization by unitary transformations: convergence of Jacobi-type algorithms. CoRR abs/1905.12295 (2019) - [i10]Simon Barthelmé, Konstantin Usevich:
Spectral properties of kernel matrices in the flat limit. CoRR abs/1910.14067 (2019) - [i9]Jianze Li, Konstantin Usevich, Pierre Comon:
Jacobi-type algorithm for low rank orthogonal approximation of symmetric tensors and its convergence analysis. CoRR abs/1911.00659 (2019) - [i8]Jianze Li, Konstantin Usevich, Pierre Comon:
On the convergence of Jacobi-type algorithms for Independent Component Analysis. CoRR abs/1912.07194 (2019) - 2018
- [j14]Jianze Li, Konstantin Usevich, Pierre Comon:
Globally Convergent Jacobi-Type Algorithms for Simultaneous Orthogonal Symmetric Tensor Diagonalization. SIAM J. Matrix Anal. Appl. 39(1): 1-22 (2018) - [c7]Konstantin Usevich, Valentin Emiya, David Brie, Caroline Chaux:
Characterization of Finite Signals with Low-Rank Stft. SSP 2018: 393-397 - [i7]Jonathan Gillard, Konstantin Usevich:
Structured low-rank matrix completion for forecasting in time series analysis. CoRR abs/1802.08242 (2018) - 2017
- [j13]Pierre Comon, Yang Qi, Konstantin Usevich:
Identifiability of an X-Rank Decomposition of Polynomial Maps. SIAM J. Appl. Algebra Geom. 1(1): 388-414 (2017) - [j12]Konstantin Usevich, Ivan Markovsky:
Variable projection methods for approximate (greatest) common divisor computations. Theor. Comput. Sci. 681: 176-198 (2017) - [j11]Souleymen Sahnoun, Konstantin Usevich, Pierre Comon:
Multidimensional ESPRIT for Damped and Undamped Signals: Algorithm, Computations, and Perturbation Analysis. IEEE Trans. Signal Process. 65(22): 5897-5910 (2017) - [c6]Konstantin Usevich, Souleymen Sahnoun, Pierre Comon:
High-Resolution Subspace-Based Methods: Eigenvalue- or Eigenvector-Based Estimation? LVA/ICA 2017: 47-56 - [i6]Jianze Li, Konstantin Usevich, Pierre Comon:
Globally convergent Jacobi-type algorithms for simultaneous orthogonal symmetric tensor diagonalization. CoRR abs/1702.03750 (2017) - 2016
- [j10]Konstantin Usevich, Pierre Comon:
Hankel Low-Rank Matrix Completion: Performance of the Nuclear Norm Relaxation. IEEE J. Sel. Top. Signal Process. 10(4): 637-646 (2016) - [c5]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: 321-325 - [c4]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: 2176-2180 - [i5]Pierre Comon, Yang Qi, Konstantin Usevich:
X-rank and identifiability for a polynomial decomposition model. CoRR abs/1603.01566 (2016) - 2015
- [c3]Pierre Comon, Yang Qi, Konstantin Usevich:
A Polynomial Formulation for Joint Decomposition of Symmetric Tensors of Different Orders. LVA/ICA 2015: 22-30 - [i4]Konstantin Usevich, Pierre Comon:
Quasi-Hankel low-rank matrix completion: a convex relaxation. CoRR abs/1505.07766 (2015) - 2014
- [j9]Ivan Markovsky, Jan Goos, Konstantin Usevich, Rik Pintelon:
Realization and identification of autonomous linear periodically time-varying systems. Autom. 50(6): 1632-1640 (2014) - [j8]Konstantin Usevich, Ivan Markovsky:
Optimization on a Grassmann manifold with application to system identification. Autom. 50(6): 1656-1662 (2014) - [j7]Ivan Markovsky, Konstantin Usevich:
Software for weighted structured low-rank approximation. J. Comput. Appl. Math. 256: 278-292 (2014) - [j6]Konstantin Usevich, Ivan Markovsky:
Variable projection for affinely structured low-rank approximation in weighted 2-norms. J. Comput. Appl. Math. 272: 430-448 (2014) - [j5]Mariya Ishteva, Konstantin Usevich, Ivan Markovsky:
Factorization Approach to Structured Low-Rank Approximation with Applications. SIAM J. Matrix Anal. Appl. 35(3): 1180-1204 (2014) - [j4]Stephan Rhode, Konstantin Usevich, Ivan Markovsky, Frank Gauterin:
A Recursive Restricted Total Least-Squares Algorithm. IEEE Trans. Signal Process. 62(21): 5652-5662 (2014) - [c2]Anne Van Mulders, Laurent Vanbeylen, Konstantin Usevich:
Identification of a block-structured model with several sources of nonlinearity. ECC 2014: 1717-1722 - [p1]Ivan Markovsky, Konstantin Usevich:
Nonlinearly Structured Low-Rank Approximation. Low-Rank and Sparse Modeling for Visual Analysis 2014: 1-22 - [i3]Konstantin Usevich, Ivan Markovsky:
Adjusted least squares fitting of algebraic hypersurfaces. CoRR abs/1412.2291 (2014) - 2013
- [j3]Ivan Markovsky, Konstantin Usevich:
Structured Low-Rank Approximation with Missing Data. SIAM J. Matrix Anal. Appl. 34(2): 814-830 (2013) - [i2]Konstantin Usevich, Ivan Markovsky:
Variable projection methods for approximate (greatest) common divisor computations. CoRR abs/1304.6962 (2013) - [i1]Mariya Ishteva, Konstantin Usevich, Ivan Markovsky:
Regularized structured low-rank approximation with applications. CoRR abs/1308.1827 (2013) - 2012
- [j2]Konstantin Usevich, Ivan Markovsky:
Variable projection methods for approximate GCD computations. ACM Commun. Comput. Algebra 46(3/4): 122-124 (2012) - [c1]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: 373-382 - 2011
- [j1]David M. Holloway, Francisco J. P. Lopes, Luciano da Fontoura Costa, Bruno Augusto Nassif Travençolo, Nina Golyandina, Konstantin Usevich, Alexander V. Spirov:
Gene Expression Noise in Spatial Patterning: hunchback Promoter Structure Affects Noise Amplitude and Distribution in Drosophila Segmentation. PLoS Comput. Biol. 7(2) (2011)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 20:34 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
