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ANR project: Code decision (reference) : ANR-19-CE23-0021
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Coupled tensor decomposition for hyper spectral and multispectral image fusion with inter-image variability

Ricardo A Borsoi , Clémence Prévost , Konstantin Usevich , David Brie , José C M Bermudez et al.
IEEE Journal of Selected Topics in Signal Processing, 2021, 15 (3), pp.702-717. ⟨10.1109/JSTSP.2021.3054338⟩
Journal articles hal-03106874v1
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Jacobi-type algorithm for low rank orthogonal approximation of symmetric tensors and its convergence analysis

Jianze Li , Konstantin Usevich , Pierre Comon
Pacific journal of optimization, 2021, 17 (3), pp.357-379
Journal articles hal-03233467v1

Determinantal point processes in the flat limit

Simon Barthelmé , Nicolas Tremblay , Konstantin Usevich , Pierre-Olivier Amblard
Bernoulli, 2023, 29 (2), pp.957-983. ⟨10.48550/arXiv.2107.07213⟩
Journal articles hal-03359889v1
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Approximate matrix and tensor diagonalization by unitary transformations: convergence of Jacobi-type algorithms

Konstantin Usevich , Jianze Li , Pierre Comon
SIAM Journal on Optimization, 2020, 30 (4), pp.2998-3028. ⟨10.1137/19M125950X⟩
Journal articles hal-01998900v4
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Constrained Cramér–Rao bounds for reconstruction problems formulated as coupled canonical polyadic decompositions

Clémence Prévost , Konstantin Usevich , Martin Haardt , Pierre Comon , David Brie et al.
Signal Processing, 2022, 198, pp.108573. ⟨10.1016/j.sigpro.2022.108573⟩
Journal articles hal-03651874v1
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Low-rank tensor recovery for Jacobian-based Volterra identification of parallel Wiener-Hammerstein systems

Konstantin Usevich , Philippe Dreesen , Mariya Ishteva
19th IFAC Symposium on System Identification, SYSID 2021, Jul 2021, Padova (virtual), Italy
Conference papers hal-03349340v1
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Learning nonlinearities in the decoupling problem with structured CPD

Yassine Zniyed , Konstantin Usevich , Sebastian Miron , David Brie
19th IFAC Symposium on System Identification, SYSID 2021, Jul 2021, Padova (virtual), Italy
Conference papers hal-03223831v1
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Two-layer decoupling of multivariate polynomials with coupled ParaTuck and CP decompositions

Konstantin Usevich , Yassine Zniyed , Mariya Ishteva , Philippe Dreesen , André L F de Almeida et al.
Preprints, Working Papers, ... hal-03968630v1

Tensor-based framework for training flexible neural networks

Yassine Zniyed , Konstantin Usevich , Sebastian Miron , David Brie
Preprints, Working Papers, ... hal-03273321v1
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Hyperspectral super-resolution accounting for spectral variability: coupled tensor LL1-based recovery and blind unmixing of the unknown super-resolution image

Clémence Prévost , Ricardo A Borsoi , Konstantin Usevich , David Brie , José C. M. Bermudez et al.
SIAM Journal on Imaging Sciences, 2022, 15 (1), pp.110-138. ⟨10.1137/21M1409354⟩
Journal articles hal-03158076v2
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An algebraic algorithm for rank-2 ParaTuck-2 decomposition

Konstantin Usevich
Preprints, Working Papers, ... hal-03966869v1

Extended L-ensembles: A new representation for determinantal point processes

Nicolas Tremblay , Simon Barthelmé , Konstantin Usevich , Pierre-Olivier Amblard
Annals of Applied Probability, 2023, 33 (1), pp.613-640. ⟨10.1214/22-AAP1824⟩
Journal articles hal-03359895v1

On the convergence of Jacobi-type algorithms for Independent Component Analysis

Jianze Li , Konstantin Usevich , Pierre Comon
SAM 2020 - 11th Sensor Array and Multichannel Signal Processing Workshop, Jun 2020, Hangzhou (virtual), China. ⟨10.1109/SAM48682.2020.9104331⟩
Conference papers hal-02994725v1
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Hyperspectral super-resolution with coupled Tucker approximation: Recoverability and SVD-based algorithms

Clémence Prévost , Konstantin Usevich , Pierre Comon , David Brie
IEEE Transactions on Signal Processing, 2020, 68, pp.931-946. ⟨10.1109/TSP.2020.2965305⟩
Journal articles hal-01911969v4

Spectral properties of kernel matrices in the flat limit

Simon Barthelme , Konstantin Usevich
SIAM Journal on Matrix Analysis and Applications, 2021, 42 (1), pp.17-57. ⟨10.1137/19M129677X⟩
Journal articles hal-03017947v1