Efficient Kernel Computation for Volterra Filter Structure Evaluation. - José Henrique de Morais Goulart; Phillip Mark Seymour Burt (IEEE Signal Process. Lett., 2012)

Evaluating the potential of Volterra-PARAFAC IIR models. - Phillip Mark Seymour Burt; José Henrique de Morais Goulart (ICASSP, 2013)

An Algebraic Solution for the Candecomp/PARAFAC Decomposition with Circulant Factors. - José Henrique de Morais Goulart; Gérard Favier (SIAM J. Matrix Anal. Appl., 2014)

Statistical efficiency of structured CPD estimation applied to Wiener-Hammerstein modeling. - José Henrique de Morais Goulart; Maxime Boizard; Rémy Boyer; Gérard Favier; Pierre Comon (EUSIPCO, 2015)

An iterative hard thresholding algorithm with improved convergence for low-rank tensor recovery. - José Henrique de Morais Goulart; Gérard Favier (EUSIPCO, 2015)

Tensor CP Decomposition With Structured Factor Matrices: Algorithms and Performance. - José Henrique de Morais Goulart; Maxime Boizard; Rémy Boyer; Gérard Favier; Pierre Comon (IEEE J. Sel. Top. Signal Process., 2016)

A novel non-iterative algorithm for low-multilinear-rank tensor approximation. - José Henrique de Morais Goulart; Pierre Comon (EUSIPCO, 2017)

On the minimal ranks of matrix pencils and the existence of a best approximate block-term tensor decomposition. - José Henrique de Morais Goulart; Pierre Comon (CoRR, 2017)

Low-Rank Tensor Recovery using Sequentially Optimal Modal Projections in Iterative Hard Thresholding (SeMPIHT). - José Henrique de Morais Goulart; Gérard Favier (SIAM J. Sci. Comput., 2017)

Coherence Constrained Alternating Least Squares. - Rodrigo Cabral Farias; José Henrique de Morais Goulart; Pierre Comon (EUSIPCO, 2018)

Efficient Computation of Bilinear Approximations and Volterra Models of Nonlinear Systems. - Phillip Mark Seymour Burt; José Henrique de Morais Goulart (IEEE Trans. Signal Process., 2018)

A Study on Tensor and Matrix Models for Super-Resolution Fluorescence Microscopy. - José Henrique de Morais Goulart; Laure Blanc-Féraud; E. Debreuve; Sebastien Schaub (CAMSAP, 2019)

Alternating Group Lasso for Block-Term Tensor Decomposition and Application to ECG Source Separation. - José Henrique de Morais Goulart; Pedro Marinho R. de Oliveira; Rodrigo Cabral Farias; Vicente Zarzoso; Pierre Comon (IEEE Trans. Signal Process., 2020)

Volterra kernels of bilinear systems have tensor train structure. - José Henrique de Morais Goulart; Phillip M. S. Burt (EUSIPCO, 2021)

COL0RME: Covariance-Based l0 Super-Resolution Microscopy with Intensity Estimation. - Vasiliki Stergiopoulou; José Henrique de Morais Goulart; Sébastien Schaub; Luca Calatroni; Laure Blanc-Féraud (ISBI, 2021)

Majorization-minimization for Sparse Nonnegative Matrix Factorization with the β-divergence. - Arthur Marmin; José Henrique de Morais Goulart; Cédric Févotte (CoRR, 2022)

A Random Matrix Perspective on Random Tensors. - José Henrique de Morais Goulart; Romain Couillet; Pierre Comon (J. Mach. Learn. Res., 2022)

On the Realization of Impulse Invariant Low-Rank Volterra Kernels. - Phillip M. S. Burt; José Henrique de Morais Goulart (IEEE Signal Process. Lett., 2022)

Blind Source Separation in Persistent Atrial Fibrillation Electrocardiograms Using Block-Term Tensor Decomposition With Löwner Constraints. - Pedro Marinho R. de Oliveira; José Henrique de Morais Goulart; Carlos Alexandre R. Fernandes; Vicente Zarzoso (IEEE J. Biomed. Health Informatics, 2022)

On the Accuracy of Hotelling-Type Asymmetric Tensor Deflation: A Random Tensor Analysis. - Mohamed El Amine Seddik; Maxime Guillaud; Alexis Decurninge; José Henrique de Morais Goulart (CAMSAP, 2023)

Hotelling Deflation on Large Symmetric Spiked Tensors. - Mohamed El Amine Seddik; José Henrique de Morais Goulart; Maxime Guillaud (CoRR, 2023)

Joint majorization-Minimization for nonnegative matrix factorization with the β-divergence. - Arthur Marmin; José Henrique de Morais Goulart; Cédric Févotte (Signal Process., 2023)

Majorization-Minimization for Sparse Nonnegative Matrix Factorization With the $ beta$-Divergence. - Arthur Marmin; José Henrique de Morais Goulart; Cédric Févotte (IEEE Trans. Signal Process., 2023)

Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model. - Hugo Lebeau; Mohamed El Amine Seddik; José Henrique de Morais Goulart (ICLR, 2024)

On-the-Fly Spectral Unmixing for Real-Time Hyperspectral Data Analysis. - Hugues Kouakou; José Henrique de Morais Goulart; Raffaele Vitale; Thomas Oberlin; David Rousseau; Cyril Ruckebusch; Nicolas Dobigeon (WHISPERS, 2024)

Low-rank multilinear filtering. - Maryam Dehghan; José Henrique de Morais Goulart; André L. F. de Almeida (Digit. Signal Process., 2024)