Cédric Févotte

ORCID

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 71

Top Venues

CoRR

ICASSP

IEEE Signal Process. Lett.

IEEE Trans. Signal Process.

Publications

Arthur Marmin, José Henrique de Morais Goulart, Cédric Févotte
Majorization-Minimization for Sparse Nonnegative Matrix Factorization With the $\beta$-Divergence. IEEE Trans. Signal Process. 71 (2023)
Cássio F. Dantas, Emmanuel Soubies, Cédric Févotte
Sphere Refinement in Gap Safe Screening. IEEE Signal Process. Lett. 30 (2023)
Arthur Marmin, José Henrique de Morais Goulart, Cédric Févotte
Joint majorization-Minimization for nonnegative matrix factorization with the β-divergence. Signal Process. 209 (2023)
Ondrej Mokrý, Paul Magron, Thomas Oberlin, Cédric Févotte
Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization. Signal Process. 206 (2023)
Sixin Zhang, Emmanuel Soubies, Cédric Févotte
Leveraging Joint-Diagonalization in Transform-Learning NMF. IEEE Trans. Signal Process. 70 (2022)
Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte
Learning the Proximity Operator in Unfolded ADMM for Phase Retrieval. CoRR (2022)
Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte
Learning the Proximity Operator in Unfolded ADMM for Phase Retrieval. IEEE Signal Process. Lett. 29 (2022)
Ondrej Mokrý, Paul Magron, Thomas Oberlin, Cédric Févotte
Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization. CoRR (2022)
Valentin Leplat, Nicolas Gillis, Cédric Févotte
Multi-resolution beta-divergence NMF for blind spectral unmixing. Signal Process. 193 (2022)
Cássio F. Dantas, Emmanuel Soubies, Cédric Févotte
Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening. CoRR (2022)
Paul Magron, Cédric Févotte
Neural content-aware collaborative filtering for cold-start music recommendation. Data Min. Knowl. Discov. 36 (5) (2022)
Arthur Marmin, José Henrique de Morais Goulart, Cédric Févotte
Majorization-minimization for Sparse Nonnegative Matrix Factorization with the β-divergence. CoRR (2022)
Paul Magron, Cédric Févotte
A Majorization-Minimization Algorithm for Nonnegative Binary Matrix Factorization. IEEE Signal Process. Lett. 29 (2022)
Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels
Second-Order Step-Size Tuning of SGD for Non-Convex Optimization. Neural Process. Lett. 54 (3) (2022)
Paul Magron, Cédric Févotte
A majorization-minimization algorithm for nonnegative binary matrix factorization. CoRR (2022)
Cássio F. Dantas, Emmanuel Soubies, Cédric Févotte
Expanding boundaries of Gap Safe screening. CoRR (2021)
Ting Cai, Vincent Y. F. Tan, Cédric Févotte
Adversarially-Trained Nonnegative Matrix Factorization. CoRR (2021)
Sixin Zhang, Emmanuel Soubies, Cédric Févotte
On the Relationships between Transform-Learning NMF and Joint-Diagonalization. CoRR (2021)
Ting Cai, Vincent Y. F. Tan, Cédric Févotte
Adversarially-Trained Nonnegative Matrix Factorization. IEEE Signal Process. Lett. 28 (2021)
Arthur Marmin, José Henrique de Morais Goulart, Cédric Févotte
Joint Majorization-Minimization for Nonnegative Matrix Factorization with the β-divergence. CoRR (2021)
Cássio Fraga Dantas, Emmanuel Soubies, Cédric Févotte
Expanding Boundaries of Gap Safe Screening. J. Mach. Learn. Res. 22 (2021)
Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. CoRR (2021)
Paul Magron, Pierre-Hugo Vial, Thomas Oberlin, Cédric Févotte
Phase Recovery with Bregman Divergences for Audio Source Separation. ICASSP (2021)
Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte
Phase Retrieval With Bregman Divergences and Application to Audio Signal Recovery. IEEE J. Sel. Top. Signal Process. 15 (1) (2021)
Dana Lahat, Yanbin Lang, Vincent Y. F. Tan, Cédric Févotte
Positive Semidefinite Matrix Factorization: A Connection With Phase Retrieval and Affine Rank Minimization. IEEE Trans. Signal Process. 69 (2021)
Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels
Second-order step-size tuning of SGD for non-convex optimization. CoRR (2021)
Paul Magron, Cédric Févotte
Leveraging the Structure of Musical Preference in Content-Aware Music Recommendation. ICASSP (2021)
Cássio F. Dantas, Emmanuel Soubies, Cédric Févotte
Safe Screening for Sparse Regression with the Kullback-Leibler Divergence. ICASSP (2021)
Louis Filstroff, Olivier Gouvert, Cédric Févotte, Olivier Cappé
A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Matrix Factorization. IEEE Trans. Signal Process. 69 (2021)
Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. NeurIPS (2021)
Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels
An Inertial Newton Algorithm for Deep Learning. J. Mach. Learn. Res. 22 (2021)
Paul Magron, Cédric Févotte
Neural content-aware collaborative filtering for cold-start music recommendation. CoRR (2021)
Olivier Gouvert, Thomas Oberlin, Cédric Févotte
Negative Binomial Matrix Factorization. IEEE Signal Process. Lett. 27 (2020)
Olivier Gouvert, Thomas Oberlin, Cédric Févotte
Ordinal Non-negative Matrix Factorization for Recommendation. CoRR (2020)
Valentin Leplat, Nicolas Gillis, Cédric Févotte
Multi-Resolution Beta-Divergence NMF for Blind Spectral Unmixing. CoRR (2020)
Dana Lahat, Cédric Févotte
Positive Semidefinite Matrix Factorization Based on Truncated Wirtinger Flow. EUSIPCO (2020)
Louis Filstroff, Olivier Gouvert, Cédric Févotte, Olivier Cappé
A Comparative Study of Temporal Non-Negative Matrix Factorization with Gamma Markov Chains. CoRR (2020)
Dana Lahat, Cédric Févotte
Positive Semidefinite Matrix Factorization: A Link to Phase Retrieval And A Block Gradient Algorithm. ICASSP (2020)
Olivier Gouvert, Thomas Oberlin, Cédric Févotte
Ordinal Non-negative Matrix Factorization for Recommendation. ICML (2020)
Alberto Lumbreras, Louis Filstroff, Cédric Févotte
Bayesian mean-parameterized nonnegative binary matrix factorization. Data Min. Knowl. Discov. 34 (6) (2020)
Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte
Phase retrieval with Bregman divergences and application to audio signal recovery. CoRR (2020)
Paul Magron, Pierre-Hugo Vial, Thomas Oberlin, Cédric Févotte
Phase recovery with Bregman divergences for audio source separation. CoRR (2020)
Dana Lahat, Yanbin Lang, Vincent Y. F. Tan, Cédric Févotte
Positive Semidefinite Matrix Factorization: A Connection with Phase Retrieval and Affine Rank Minimization. CoRR (2020)
Sixin Zhang, Emmanuel Soubies, Cédric Févotte
On the Identifiability of Transform Learning for Non-Negative Matrix Factorization. IEEE Signal Process. Lett. 27 (2020)
Paul Magron, Cédric Févotte
Leveraging the structure of musical preference in content-aware music recommendation. CoRR (2020)
Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte
Phase retrieval with Bregman divergences: Application to audio signal recovery. CoRR (2020)
Olivier Gouvert, Thomas Oberlin, Cédric Févotte
Recommendation from Raw Data with Adaptive Compound Poisson Factorization. UAI (2019)
Olivier Gouvert, Thomas Oberlin, Cédric Févotte
Recommendation from Raw Data with Adaptive Compound Poisson Factorization. CoRR (2019)
Rui Xia, Vincent Y. F. Tan, Louis Filstroff, Cédric Févotte
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments. CoRR (2019)
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cédric Févotte, Simon Stute, Maria-Joao Ribeiro, Clovis Tauber
Factor Analysis of Dynamic PET Images: Beyond Gaussian Noise. IEEE Trans. Medical Imaging 38 (9) (2019)
Rui Xia, Vincent Y. F. Tan, Louis Filstroff, Cédric Févotte
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments. ECML/PKDD (3) (2019)
Dylan Fagot, Herwig Wendt, Cédric Févotte, Paris Smaragdis
Majorization-minimization Algorithms for Convolutive NMF with the Beta-divergence. ICASSP (2019)
Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels
An Inertial Newton Algorithm for Deep Learning. CoRR (2019)
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cédric Févotte, Simon Stute, Clovis Tauber
Unmixing Dynamic Pet Images: Combining Spatial Heterogeneity and Non-gaussian Noise. ICASSP (2019)
Pierre Ablin, Dylan Fagot, Herwig Wendt, Alexandre Gramfort, Cédric Févotte
A Quasi-Newton Algorithm on the Orthogonal Manifold for NMF with Transform Learning. ICASSP (2019)
Herwig Wendt, Dylan Fagot, Cédric Févotte
Jacobi Algorithm for Nonnegative Matrix Factorization with Transform Learning. EUSIPCO (2018)
Dylan Fagot, Herwig Wendt, Cédric Févotte
Nonnegative Matrix Factorization with Transform Learning. ICASSP (2018)
Cédric Févotte, Matthieu Kowalski
Estimation With Low-Rank Time-Frequency Synthesis Models. IEEE Trans. Signal Process. 66 (15) (2018)
Louis Filstroff, Alberto Lumbreras, Cédric Févotte
Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization. ICML (2018)
Olivier Gouvert, Thomas Oberlin, Cédric Févotte
Negative Binomial Matrix Factorization for Recommender Systems. CoRR (2018)
Louis Filstroff, Alberto Lumbreras, Cédric Févotte
Closed-form marginal likelihood in Gamma-Poisson factorization. CoRR (2018)
Olivier Gouvert, Thomas Oberlin, Cédric Févotte
Matrix Co-Factorization for Cold-Start Recommendation. ISMIR (2018)
Cédric Févotte, Matthieu Kowalski
Estimation with Low-Rank Time-Frequency Synthesis Models. CoRR (2018)
Alberto Lumbreras, Louis Filstroff, Cédric Févotte
Bayesian Mean-parameterized Nonnegative Binary Matrix Factorization. CoRR (2018)
Pierre Ablin, Dylan Fagot, Herwig Wendt, Alexandre Gramfort, Cédric Févotte
A Quasi-Newton algorithm on the orthogonal manifold for NMF with transform learning. CoRR (2018)
Dylan Fagot, Cédric Févotte, Herwig Wendt
Nonnegative Matrix Factorization with Transform Learning. CoRR (2017)
Ronan Hamon, Valentin Emiya, Cédric Févotte
Convex nonnegative matrix factorization with missing data. MLSP (2016)
Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya
Optimal spectral transportation with application to music transcription. NIPS (2016)
Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya
Optimal spectral transportation with application to music transcription. CoRR (2016)
Cédric Févotte, Matthieu Kowalski
Hybrid sparse and low-rank time-frequency signal decomposition. EUSIPCO (2015)
Cédric Févotte, Nicolas Dobigeon
Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization. IEEE Trans. Image Process. 24 (12) (2015)
Nicolas Seichepine, Slim Essid, Cédric Févotte, Olivier Cappé
Piecewise constant nonnegative matrix factorization. ICASSP (2014)
Paris Smaragdis, Cédric Févotte, Gautham J. Mysore, Nasser Mohammadiha, Matthew D. Hoffman
Static and Dynamic Source Separation Using Nonnegative Factorizations: A unified view. IEEE Signal Process. Mag. 31 (3) (2014)
Nicolas Seichepine, Slim Essid, Cédric Févotte, Olivier Cappé
Soft Nonnegative Matrix Co-Factorization. IEEE Trans. Signal Process. 62 (22) (2014)
Dennis L. Sun, Cédric Févotte
Alternating direction method of multipliers for non-negative matrix factorization with the beta-divergence. ICASSP (2014)
Cédric Févotte, Matthieu Kowalski
Low-Rank Time-Frequency Synthesis. NIPS (2014)
Vincent Y. F. Tan, Cédric Févotte
Automatic Relevance Determination in Nonnegative Matrix Factorization with the $(\beta)$-Divergence. IEEE Trans. Pattern Anal. Mach. Intell. 35 (7) (2013)
Slim Essid, Cédric Févotte
Smooth Nonnegative Matrix Factorization for Unsupervised Audiovisual Document Structuring. IEEE Trans. Multim. 15 (2) (2013)
Nicolas Seichepine, Slim Essid, Cédric Févotte, Olivier Cappé
Soft nonnegative matrix co-factorizationwith application to multimodal speaker diarization. ICASSP (2013)
Nicolas Dobigeon, Cédric Févotte
Robust nonnegative matrix factorization for nonlinear unmixing of hyperspectral images. WHISPERS (2013)
Cédric Févotte, Jonathan Le Roux, John R. Hershey
Non-negative dynamical system with application to speech and audio. ICASSP (2013)
Slim Essid, Cédric Févotte
Decomposing the video editing structure of a talk-show using nonnegative matrix factorization. ICIP (2012)
Onur Dikmen, Cédric Févotte
Maximum Marginal Likelihood Estimation for Nonnegative Dictionary Learning in the Gamma-Poisson Model. IEEE Trans. Signal Process. 60 (10) (2012)
Augustin Lefèvre, Francis R. Bach, Cédric Févotte
Semi-supervised NMF with Time-frequency Annotations for Single-channel Source Separation. ISMIR (2012)
Timothée Gerber, Martin Dutasta, Laurent Girin, Cédric Févotte
Professionally-produced Music Separation Guided by Covers. ISMIR (2012)
Brian King, Cédric Févotte, Paris Smaragdis
Optimal cost function and magnitude power for NMF-based speech separation and music interpolation. MLSP (2012)
Onur Dikmen, Cédric Févotte
Maximum marginal likelihood estimation for nonnegative dictionary learning. ICASSP (2011)
Alexey Ozerov, Cédric Févotte, Raphaël Blouet, Jean-Louis Durrieu
Multichannel nonnegative tensor factorization with structured constraints for user-guided audio source separation. ICASSP (2011)
Onur Dikmen, Cédric Févotte
Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation. NIPS (2011)
Cédric Févotte
Majorization-minimization algorithm for smooth Itakura-Saito nonnegative matrix factorization. ICASSP (2011)
Laurent Oudre, Yves Grenier, Cédric Févotte
Chord Recognition by Fitting Rescaled Chroma Vectors to Chord Templates. IEEE Trans. Speech Audio Process. 19 (7) (2011)
Augustin Lefèvre, Francis R. Bach, Cédric Févotte
Itakura-Saito nonnegative matrix factorization with group sparsity. ICASSP (2011)
Laurent Oudre, Cédric Févotte, Yves Grenier
Probabilistic Template-Based Chord Recognition. IEEE Trans. Speech Audio Process. 19 (8) (2011)
Augustin Lefèvre, Francis R. Bach, Cédric Févotte
Online algorithms for nonnegative matrix factorization with the Itakura-Saito divergence. WASPAA (2011)
Cédric Févotte, Jérôme Idier
Algorithms for Nonnegative Matrix Factorization with the β-Divergence. Neural Comput. 23 (9) (2011)
Laurent Oudre, Cédric Févotte, Yves Grenier
Probabilistic framework for template-based chord recognition. MMSP (2010)
Cédric Févotte, Alexey Ozerov
Notes on Nonnegative Tensor Factorization of the Spectrogram for Audio Source Separation: Statistical Insights and Towards Self-Clustering of the Spatial Cues. CMMR (2010)
Jean-Louis Durrieu, Gaël Richard, Bertrand David, Cédric Févotte
Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals. IEEE Trans. Speech Audio Process. 18 (3) (2010)
Alexey Ozerov, Cédric Févotte
Multichannel Nonnegative Matrix Factorization in Convolutive Mixtures for Audio Source Separation. IEEE Trans. Speech Audio Process. 18 (3) (2010)
Henri Lantéri, Céline Theys, Cédric Richard, Cédric Févotte
Split gradient method for nonnegative matrix factorization. EUSIPCO (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Cédric Févotte