Konstantin Usevich
Publications
Publications
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Signal estimation from correlation vectors with structured low-rank approximation33rd European Signal Processing Conference, EUSIPCO 2025, Sep 2025, Isola delle Femmine – Palermo, Italy |
Identifiability of Deep Polynomial Neural NetworksThe Thirty-Ninth Annual Conference on Neural Information Processing Systems, NeurIPS 2025, Dec 2025, Copenhagen, Denmark |
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Probability Mass Function Estimation Approaches with Application to Flow Cytometry Data Analysis9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Dec 2023, Los Sueños, Costa Rica |
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Compressing Neural Networks with Two-Layer Decoupling2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec 2023, Los Sueños, Costa Rica. pp.226-230, ⟨10.1109/CAMSAP58249.2023.10403509⟩ |
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Tensor-based two-layer decoupling of multivariate polynomial maps31st European Signal Processing Conference, EUSIPCO 2023, Sep 2023, Helsinki, Finland. ⟨10.23919/EUSIPCO58844.2023.10289900⟩ |
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Low-rank updates of pre-trained weights for multi-task learningThe 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Jul 2023, Toronto, Canada. pp.7544-7554, ⟨10.18653/v1/2023.findings-acl.476⟩ |
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Identifiabilité de modèles tensoriels couplés pour l'estimation de lois de probabilité discrèteXXIXème Colloque Francophone de Traitement du Signal et des Images, GRETSI 2023, Aug 2023, Grenoble, France |
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Coupled CP tensor decomposition with shared and distinct components for multi-task Fmri data fusionInternational Conference on Acoustics, Speech and Signal Processing, ICASSP 2023, Jun 2023, Rhodes Island, Greece. ⟨10.1109/ICASSP49357.2023.10096241⟩ |
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Tensor Decomposition for Multi-Task Deep-Learning in the context of Predictive JusticeConférence sur l’Apprentissage Automatique – CAP, Jul 2022, Vannes, France |
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Tensor-based image fusion accounting for inter-image variability: Recoverability and algorithmsXXVIIIème Colloque Francophone de Traitement du Signal et des Images, GRETSI 2022, Sep 2022, Nancy, France |
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Coupled tensor factorization for flow cytometry data analysis32nd IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2022, Aug 2022, Xi'an, China |
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Mesures d'indépendance dans des rkHs en limite plateGRETSI 2022 - XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France |
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Factorisation couplée de tenseurs pour l'analyse de données de cytométrie en fluxXXVIIIème Colloque Francophone de Traitement du Signal et des Images, GRETSI 2022, Sep 2022, Nancy, France |
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Une approche tensorielle pour entrainer des réseaux de neurones flexiblesXXVIIIème Colloque Francophone de Traitement du Signal et des Images, GRETSI 2022, Sep 2022, Nancy, France |
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Reconstruction de phase polarimétriqueXXVIIIème Colloque Francophone de Traitement du Signal et des Images, GRETSI 2022, Sep 2022, Nancy, France |
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Factorisation tensorielle couplée en termes de rangs (L, L, 1) : application conjointe à la super-résolution hyperspectrale et au démélange en présence de variabilité spectraleXXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France |
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Tensor-based approach for training flexible neural networks55th Asilomar Conference on Signals, Systems and Computers, Oct 2021, Pacific Grove, CA, United States. pp.1673-1677, ⟨10.1109/IEEECONF53345.2021.9723324⟩ |
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Learning nonlinearities in the decoupling problem with structured CPD19th IFAC Symposium on System Identification, SYSID 2021, Jul 2021, Padova (virtual), Italy |
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Low-rank tensor recovery for Jacobian-based Volterra identification of parallel Wiener-Hammerstein systems19th IFAC Symposium on System Identification, SYSID 2021, Jul 2021, Padova (virtual), Italy |
Coupled tensor models accounting for inter-image variability55th Asilomar Conference on Signals, Systems, and Computers, Oct 2021, Pacific Grove, France. pp.1586-1590, ⟨10.1109/IEEECONF53345.2021.9723178⟩ |
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On Cramér-Rao lower bounds with random equality constraintsICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2020, Barcelone (virtual), Spain. ⟨10.1109/ICASSP40776.2020.9054031⟩ |
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On the convergence of Jacobi-type algorithms for Independent Component AnalysisSAM 2020 - 11th Sensor Array and Multichannel Signal Processing Workshop, Jun 2020, Hangzhou (virtual), China. ⟨10.1109/SAM48682.2020.9104331⟩ |
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Software package for mosaic-Hankel structured low-rank approximation58th IEEE Conference on Decision and Control, CDC 2019, Dec 2019, Nice, France. pp.7165-7170 |
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Convex optimization for matrix completion with application to forecasting14th International Global Optimization Workshop, LeGO 2018, Sep 2018, Leiden, Netherlands. pp.020042, ⟨10.1063/1.5090009⟩ |
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Coupled tensor low-rank multilinear approximation for hyperspectral super-resolutionICASSP 2019 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2019, Brighton, United Kingdom. ⟨10.1109/ICASSP.2019.8683619⟩ |
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Performance bounds for coupled CP model in the framework of hyperspectral super-resolutionCAMSAP 2019 - IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Dec 2019, Le Gosier, Guadeloupe, France. ⟨10.1109/CAMSAP45676.2019.9022504⟩ |
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Approches tensorielles couplées pour la fusion aveugle d'images multispectrale et hyperspectraleGRETSI 2019 - XXVIIème Colloque Francophone de Traitement du Signal et des Images, Aug 2019, Lille, France |
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Characterization of finite signals with low-rank STFTIEEE Statistical Signal Processing Workshop, SSP 2018, Jun 2018, Freiburg, Germany. ⟨10.1109/SSP.2018.8450745⟩ |
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High-Resolution Subspace-Based Methods: Eigenvalue- or Eigenvector-Based Estimation?LVA/ICA 2017 - 13th International Conference on Latent Variable Analysis and Signal Separation, Feb 2017, Grenoble, France. pp.47-56, ⟨10.1007/978-3-319-53547-0_5⟩ |
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Canonical polyadic decomposition of hyperspectral patch tensorsEUSIPCO 2016 - 24th European Signal Processing Conference, Aug 2016, Budapest, Hungary. pp.2176-2180, ⟨10.1109/EUSIPCO.2016.7760634⟩ |
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Optimal choice of Hankel-block-Hankel matrix shape in 2-D parameter estimation: the rank-one caseEUSIPCO 2016 - 24th European Signal Processing Conference, Aug 2016, Budapest, Hungary |
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Structured Matrix Completion: a Convex RelaxationGRETSI 2015 - XXVème Colloque francophone de traitement du signal et des images, Sep 2015, Lyon, France. pp.4 |
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A polynomial formulation for joint decomposition of symmetric tensors of different ordersLVA/ICA 2015 - 12th International Conference on Latent Variable Analysis and Signal Separation, Aug 2015, Liberec, Czech Republic. pp.8 |
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Adjusted least squares estimator for algebraic hypersurface fittingSLA 2014 - 6th Conference on Structured Numerical Linear and Multilinear Algebra: Analysis, Algorithms and Applications, Sep 2014, Kalamata, Greece |
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A Tour of Constrained Tensor Canonical Polyadic Decomposition[Research Report] GIPSA-lab. 2016 |