On almost sure identifiability of non multilinear tensor decomposition. - Jeremy E. Cohen; Pierre Comon (EUSIPCO, 2014)

Multilinear spectral unmixing of hyperspectral multiangle images. - Miguel Angel Veganzones; Jeremy E. Cohen; R. Cabrai Farias; Ruben Marrero; Jocelyn Chanussot; Pierre Comon (EUSIPCO, 2015)

Joint Decompositions with Flexible Couplings. - Rodrigo Cabral Farias; Jeremy Emile Cohen; Christian Jutten; Pierre Comon (LVA/ICA, 2015)

Performance estimation for tensor CP decomposition with structured factors. - Maxime Boizard; Rémy Boyer; Gérard Favier; Jeremy E. Cohen; Pierre Comon (ICASSP, 2015)

About Notations in Multiway Array Processing. - Jeremy E. Cohen (CoRR, 2015)

Fast Decomposition of Large Nonnegative Tensors. - Jeremy E. Cohen; Rodrigo Cabral Farias; Pierre Comon (IEEE Signal Process. Lett., 2015)

Joint tensor compression for coupled canonical polyadic decompositions. - Jeremy Emile Cohen; Rodrigo Cabral Farias; Pierre Comon (EUSIPCO, 2016)

Canonical polyadic decomposition of hyperspectral patch tensors. - Miguel Angel Veganzones; Jeremy E. Cohen; Rodrigo Cabral Farias; Konstantin Usevich; Lucas Drumetz; Jocelyn Chanussot; Pierre Comon (EUSIPCO, 2016)

Modeling time warping in tensor decomposition. - Bertrand Rivet; Jeremy E. Cohen (SAM, 2016)

Nonnegative CP decomposition of multiangle hyperspectral data: A case study on CRISM observations of Martian ICY surface. - Miguel Angel Veganzones; Sylvain Douté; Jeremy E. Cohen; R. Cabrai Farias; Jocelyn Chanussot; Pierre Comon (WHISPERS, 2016)

Nonnegative Tensor CP Decomposition of Hyperspectral Data. - Miguel Angel Veganzones; Jeremy E. Cohen; Rodrigo Cabral Farias; Jocelyn Chanussot; Pierre Comon (IEEE Trans. Geosci. Remote. Sens., 2016)

Exploring Multimodal Data Fusion Through Joint Decompositions with Flexible Couplings. - Rodrigo Cabral Farias; Jeremy Emile Cohen; Pierre Comon (IEEE Trans. Signal Process., 2016)

Environmental multiway data mining. (Fouille de données tensorielles environnementales). - Jeremy E. Cohen (2016)

A new approach to dictionary-based nonnegative matrix factorization. - Jeremy E. Cohen; Nicolas Gillis (EUSIPCO, 2017)

Some Theory on Non-negative Tucker Decomposition. - Jeremy E. Cohen; Pierre Comon; Nicolas Gillis (LVA/ICA, 2017)

Very low bitrate spatial audio coding with dimensionality reduction. - Christian Rohlfing; Jeremy E. Cohen; Antoine Liutkus (ICASSP, 2017)

Nonnegative PARAFAC2: A Flexible Coupling Approach. - Jeremy E. Cohen; Rasmus Bro (LVA/ICA, 2018)

Curve Registered Coupled Low Rank Factorization. - Jeremy Emile Cohen; Rodrigo Cabral Farias; Bertrand Rivet (LVA/ICA, 2018)

Learning Fast Dictionaries for Sparse Representations Using Low-Rank Tensor Decompositions. - Cássio Fraga Dantas; Jérémy E. Cohen; Rémi Gribonval (LVA/ICA, 2018)

Identifiability of Low-Rank Sparse Component Analysis. - Jérémy E. Cohen; Nicolas Gillis (CoRR, 2018)

Spectral Unmixing With Multiple Dictionaries. - Jeremy E. Cohen; Nicolas Gillis (IEEE Geosci. Remote. Sens. Lett., 2018)

Dictionary-Based Tensor Canonical Polyadic Decomposition. - Jeremy Emile Cohen; Nicolas Gillis (IEEE Trans. Signal Process., 2018)

Learning Tensor-structured Dictionaries with Application to Hyperspectral Image Denoising. - Cássio Fraga Dantas; Jérémy E. Cohen; Rémi Gribonval (EUSIPCO, 2019)

Nonnegative Low-rank Sparse Component Analysis. - Jeremy E. Cohen; Nicolas Gillis (ICASSP, 2019)

Hyperspectral Image Denoising using Dictionary Learning. - Cássio Fraga Dantas; Jérémy E. Cohen; Rémi Gribonval (WHISPERS, 2019)

Identifiability of Complete Dictionary Learning. - Jeremy E. Cohen; Nicolas Gillis (SIAM J. Math. Data Sci., 2019)

An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization. - Carla Schenker; Jeremy E. Cohen; Evrim Acar (EUSIPCO, 2020)

Extrapolated Alternating Algorithms for Approximate Canonical Polyadic Decomposition. - Andersen Man Shun Ang; Jeremy E. Cohen; Le Thi Khanh Hien; Nicolas Gillis (ICASSP, 2020)

Exact Sparse Nonnegative Least Squares. - Nicolas Nadisic; Arnaud Vandaele; Nicolas Gillis; Jeremy E. Cohen (ICASSP, 2020)

Uncovering audio patterns in music with Nonnegative Tucker Decomposition for structural segmentation. - Axel Marmoret; Jeremy E. Cohen; Frédéric Bimbot; Nancy Bertin (ISMIR, 2020)

Sparse Separable Nonnegative Matrix Factorization. - Nicolas Nadisic; Arnaud Vandaele; Jeremy E. Cohen; Nicolas Gillis (ECML/PKDD (1), 2020)

Continuous dictionaries meet low-rank tensor approximations. - Clement Elvira; Jeremy E. Cohen; Cédric Herzet; Rémi Gribonval (CoRR, 2020)

Exact Biobjective k-Sparse Nonnegative Least Squares. - Nicolas Nadisic; Arnaud Vandaele; Nicolas Gillis; Jeremy E. Cohen (EUSIPCO, 2021)

PARAFAC2 AO-ADMM: Constraints in all modes. - Marie Roald; Carla Schenker; Jeremy E. Cohen; Evrim Acar (EUSIPCO, 2021)

Multi-Channel Automatic Music Transcription Using Tensor Algebra. - Axel Marmoret; Nancy Bertin; Jérémy E. Cohen (CoRR, 2021)

An AO-ADMM approach to constraining PARAFAC2 on all modes. - Marie Roald; Carla Schenker; Rasmus Bro; Jeremy E. Cohen; Evrim Acar (CoRR, 2021)

Nonnegative Tucker Decomposition with Beta-divergence for Music Structure Analysis of audio signals. - Axel Marmoret; Florian Voorwinden; Valentin Leplat; Jérémy E. Cohen; Frédéric Bimbot (CoRR, 2021)

Exploring single-song autoencoding schemes for audio-based music structure analysis. - Axel Marmoret; Jérémy E. Cohen; Frédéric Bimbot (CoRR, 2021)

A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations With Linear Couplings. - Carla Schenker; Jeremy E. Cohen; Evrim Acar (IEEE J. Sel. Top. Signal Process., 2021)

Accelerating block coordinate descent for nonnegative tensor factorization. - Andersen Man Shun Ang; Jeremy E. Cohen; Nicolas Gillis; Le Thi Khanh Hien (Numer. Linear Algebra Appl., 2021)

Barwise Compression Schemes for Audio-Based Music Structure Analysis. - Axel Marmoret; Jérémy E. Cohen; Frédéric Bimbot (CoRR, 2022)

Semi-Supervised Convolutive NMF for Automatic Music Transcription. - Haoran Wu; Axel Marmoret; Jérémy E. Cohen (CoRR, 2022)

Polytopic Analysis of Music. - Axel Marmoret; Jérémy E. Cohen; Frédéric Bimbot (CoRR, 2022)

Dictionary-Based Low-Rank Approximations and the Mixed Sparse Coding Problem. - Jeremy E. Cohen (Frontiers Appl. Math. Stat., 2022)

Matrix-wise ℓ 0-constrained sparse nonnegative least squares. - Nicolas Nadisic; Jeremy E. Cohen; Arnaud Vandaele; Nicolas Gillis (Mach. Learn., 2022)

An AO-ADMM Approach to Constraining PARAFAC2 on All Modes. - Marie Roald; Carla Schenker; Vince D. Calhoun; Tülay Adali; Rasmus Bro; Jeremy E. Cohen; Evrim Acar (SIAM J. Math. Data Sci., 2022)

Convolutive Block-Matching Segmentation Algorithm with Application to Music Structure Analysis. - Axel Marmoret; Jérémy E. Cohen; Frédéric Bimbot (WASPAA, 2023)

A fast Multiplicative Updates algorithm for Non-negative Matrix Factorization. - Mai-Quyen Pham; Jérémy E. Cohen; Thierry Chonavel (CoRR, 2023)

Barwise Music Structure Analysis with the Correlation Block-Matching Segmentation Algorithm. - Axel Marmoret; Jérémy E. Cohen; Frédéric Bimbot (Trans. Int. Soc. Music. Inf. Retr., 2023)

Constrained Tensor Decomposition Reveals Lever Arms Synergies in the Musculoskeletal System. - Joris Claude; Raphaël Dumas; Jérémy E. Cohen (EUSIPCO, 2024)

Joint Reconstruction and Spectral Unmixing from Single-Pixel Acquisitions. - Séréna Hariga; Jérémy E. Cohen; Nicolas Ducros (EUSIPCO, 2024)

Deep Unrolling of the Multiplicative Updates Algorithm for Blind Source Separation, with Application to Hyperspectral Unmixing. - Christophe Kervazo; Abdelkhalak Chetoui; Jérémy E. Cohen (EUSIPCO, 2024)

Orthogonal Matching Pursuit-Based Algorithms for the Birkhoff-Von Neumann Decomposition. - Damien Lesens; Jérémy E. Cohen; Bora Uçar (EUSIPCO, 2024)

Efficient Algorithms for Regularized Nonnegative Scale-Invariant Low-Rank Approximation Models. - Jeremy E. Cohen; Valentin Leplat (SIAM J. Math. Data Sci., 2025)

dCMF: Learning interpretable evolving patterns from temporal multiway data. - Christos Chatzis; Carla Schenker; Jérémy E. Cohen; Evrim Acar (CoRR, 2025)