Cédric Févotte

Orcid: 0000-0003-3801-5534

According to our database1, Cédric Févotte authored at least 105 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization.
Signal Process., May, 2023

Majorization-Minimization for Sparse Nonnegative Matrix Factorization With the $\beta$-Divergence.
IEEE Trans. Signal Process., 2023

Sphere Refinement in Gap Safe Screening.
IEEE Signal Process. Lett., 2023

Joint majorization-Minimization for nonnegative matrix factorization with the β-divergence.
Signal Process., 2023

2022
Leveraging Joint-Diagonalization in Transform-Learning NMF.
IEEE Trans. Signal Process., 2022

Learning the Proximity Operator in Unfolded ADMM for Phase Retrieval.
IEEE Signal Process. Lett., 2022

A Majorization-Minimization Algorithm for Nonnegative Binary Matrix Factorization.
IEEE Signal Process. Lett., 2022

Multi-resolution beta-divergence NMF for blind spectral unmixing.
Signal Process., 2022

Second-Order Step-Size Tuning of SGD for Non-Convex Optimization.
Neural Process. Lett., 2022

Neural content-aware collaborative filtering for cold-start music recommendation.
Data Min. Knowl. Discov., 2022

Majorization-minimization for Sparse Nonnegative Matrix Factorization with the β-divergence.
CoRR, 2022

Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening.
CoRR, 2022

2021
Positive Semidefinite Matrix Factorization: A Connection With Phase Retrieval and Affine Rank Minimization.
IEEE Trans. Signal Process., 2021

A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Matrix Factorization.
IEEE Trans. Signal Process., 2021

Adversarially-Trained Nonnegative Matrix Factorization.
IEEE Signal Process. Lett., 2021

Phase Retrieval With Bregman Divergences and Application to Audio Signal Recovery.
IEEE J. Sel. Top. Signal Process., 2021

Expanding Boundaries of Gap Safe Screening.
J. Mach. Learn. Res., 2021

An Inertial Newton Algorithm for Deep Learning.
J. Mach. Learn. Res., 2021

On the Relationships between Transform-Learning NMF and Joint-Diagonalization.
CoRR, 2021

Unbalanced Optimal Transport through Non-negative Penalized Linear Regression.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Phase Recovery with Bregman Divergences for Audio Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Leveraging the Structure of Musical Preference in Content-Aware Music Recommendation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Safe Screening for Sparse Regression with the Kullback-Leibler Divergence.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
On the Identifiability of Transform Learning for Non-Negative Matrix Factorization.
IEEE Signal Process. Lett., 2020

Negative Binomial Matrix Factorization.
IEEE Signal Process. Lett., 2020

Bayesian mean-parameterized nonnegative binary matrix factorization.
Data Min. Knowl. Discov., 2020

Phase retrieval with Bregman divergences: Application to audio signal recovery.
CoRR, 2020

A Comparative Study of Temporal Non-Negative Matrix Factorization with Gamma Markov Chains.
CoRR, 2020

Ordinal Non-negative Matrix Factorization for Recommendation.
Proceedings of the 37th International Conference on Machine Learning, 2020

Positive Semidefinite Matrix Factorization: A Link to Phase Retrieval And A Block Gradient Algorithm.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Positive Semidefinite Matrix Factorization Based on Truncated Wirtinger Flow.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Factor Analysis of Dynamic PET Images: Beyond Gaussian Noise.
IEEE Trans. Medical Imaging, 2019

Recommendation from Raw Data with Adaptive Compound Poisson Factorization.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Majorization-minimization Algorithms for Convolutive NMF with the Beta-divergence.
Proceedings of the IEEE International Conference on Acoustics, 2019

Unmixing Dynamic Pet Images: Combining Spatial Heterogeneity and Non-gaussian Noise.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Quasi-Newton Algorithm on the Orthogonal Manifold for NMF with Transform Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Estimation With Low-Rank Time-Frequency Synthesis Models.
IEEE Trans. Signal Process., 2018

Closed-form marginal likelihood in Gamma-Poisson factorization.
CoRR, 2018

Negative Binomial Matrix Factorization for Recommender Systems.
CoRR, 2018

Matrix Co-Factorization for Cold-Start Recommendation.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization.
Proceedings of the 35th International Conference on Machine Learning, 2018

Nonnegative Matrix Factorization with Transform Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Jacobi Algorithm for Nonnegative Matrix Factorization with Transform Learning.
Proceedings of the 26th European Signal Processing Conference, 2018

2016
Optimal spectral transportation with application to music transcription.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Convex nonnegative matrix factorization with missing data.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2015
Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization.
IEEE Trans. Image Process., 2015

Hybrid sparse and low-rank time-frequency signal decomposition.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Soft Nonnegative Matrix Co-Factorization.
IEEE Trans. Signal Process., 2014

Static and Dynamic Source Separation Using Nonnegative Factorizations: A unified view.
IEEE Signal Process. Mag., 2014

Low-Rank Time-Frequency Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Alternating direction method of multipliers for non-negative matrix factorization with the beta-divergence.
Proceedings of the IEEE International Conference on Acoustics, 2014

Piecewise constant nonnegative matrix factorization.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Smooth Nonnegative Matrix Factorization for Unsupervised Audiovisual Document Structuring.
IEEE Trans. Multim., 2013

Automatic Relevance Determination in Nonnegative Matrix Factorization with the $(\beta)$-Divergence.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Robust nonnegative matrix factorization for nonlinear unmixing of hyperspectral images.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Soft nonnegative matrix co-factorizationwith application to multimodal speaker diarization.
Proceedings of the IEEE International Conference on Acoustics, 2013

Non-negative dynamical system with application to speech and audio.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Maximum Marginal Likelihood Estimation for Nonnegative Dictionary Learning in the Gamma-Poisson Model.
IEEE Trans. Signal Process., 2012

Optimal cost function and magnitude power for NMF-based speech separation and music interpolation.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Semi-supervised NMF with Time-frequency Annotations for Single-channel Source Separation.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Professionally-produced Music Separation Guided by Covers.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Decomposing the video editing structure of a talk-show using nonnegative matrix factorization.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
Chord Recognition by Fitting Rescaled Chroma Vectors to Chord Templates.
IEEE Trans. Speech Audio Process., 2011

Probabilistic Template-Based Chord Recognition.
IEEE Trans. Speech Audio Process., 2011

Algorithms for Nonnegative Matrix Factorization with the β-Divergence.
Neural Comput., 2011

Online algorithms for nonnegative matrix factorization with the Itakura-Saito divergence.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2011

Nonnegative dictionary learning in the exponential noise model for adaptive music signal representation.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Multichannel nonnegative tensor factorization with structured constraints for user-guided audio source separation.
Proceedings of the IEEE International Conference on Acoustics, 2011

Itakura-Saito nonnegative matrix factorization with group sparsity.
Proceedings of the IEEE International Conference on Acoustics, 2011

Majorization-minimization algorithm for smooth Itakura-Saito nonnegative matrix factorization.
Proceedings of the IEEE International Conference on Acoustics, 2011

Maximum marginal likelihood estimation for nonnegative dictionary learning.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Multichannel Nonnegative Matrix Factorization in Convolutive Mixtures for Audio Source Separation.
IEEE Trans. Speech Audio Process., 2010

Source/Filter Model for Unsupervised Main Melody Extraction From Polyphonic Audio Signals.
IEEE Trans. Speech Audio Process., 2010

Algorithms for nonnegative matrix factorization with the beta-divergence
CoRR, 2010

Probabilistic framework for template-based chord recognition.
Proceedings of the 2010 IEEE International Workshop on Multimedia Signal Processing, 2010

Split gradient method for nonnegative matrix factorization.
Proceedings of the 18th European Signal Processing Conference, 2010

Notes on Nonnegative Tensor Factorization of the Spectrogram for Audio Source Separation: Statistical Insights and Towards Self-Clustering of the Spatial Cues.
Proceedings of the Exploring Music Contents - 7th International Symposium, 2010

2009
Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis.
Neural Comput., 2009

Factorial Scaled Hidden Markov Model for polyphonic audio representation and source separation.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009

Chord recognition using measures of fit, chord templates and filtering methods.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009

Template-based Chord Recognition : Influence of the Chord Types.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

Multichannel nonnegative matrix factorization in convolutive mixtures. With application to blind audio source separation.
Proceedings of the IEEE International Conference on Acoustics, 2009

A tempering approach for Itakura-Saito non-negative matrix factorization. With application to music transcription.
Proceedings of the IEEE International Conference on Acoustics, 2009

Nonnegative matrix factorizations as probabilistic inference in composite models.
Proceedings of the 17th European Signal Processing Conference, 2009

Main instrument separation from stereophonic audio signals using a source/filter model.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Sparse Linear Regression With Structured Priors and Application to Denoising of Musical Audio.
IEEE Trans. Speech Audio Process., 2008

Evaluation of several strategies for single sensor speech/music separation.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Variational and stochastic inference for Bayesian source separation.
Digit. Signal Process., 2007

Pivot Selection Strategies in Jacobi Joint Block-Diagonalization.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Bayesian computational methods for sparse audio and music processing.
Proceedings of the 15th European Signal Processing Conference, 2007

Bayesian Audio Source Separation.
Proceedings of the Blind Speech Separation, 2007

2006
Performance measurement in blind audio source separation.
IEEE Trans. Speech Audio Process., 2006

A Bayesian Approach for Blind Separation of Sparse Sources.
IEEE Trans. Speech Audio Process., 2006

Sparse linear regression in unions of bases via Bayesian variable selection.
IEEE Signal Process. Lett., 2006

Sparse Regression with Structured Priors: Application to Audio Denoising.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Kernel PCA Based Estimation of the Mixing Matrix in Linear Instantaneous Mixtures of Sparse Sources.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Blind Separation of Sparse Sources Using Jeffrey's Inverse Prior and the EM Algorithm.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Bayesian blind separation of audio mixtures with structured priors.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Blind separation of sparse sources using variational EM.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Blind separation of linear instantaneous mixtures of nonstationary surface myoelectric signals.
IEEE Trans. Biomed. Eng., 2004

Two contributions to blind source separation using time-frequency distributions.
IEEE Signal Process. Lett., 2004

Bayesian Approach for Blind Separation of Underdetermined Mixtures of Sparse Sources.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003
Blind source separation of FIR convolutive mixtures: application to speech signals.
Proceedings of the ITRW on Non-Linear Speech Processing, 2003

2002
Single autoterms selection for blind source separation in time-frequency plane.
Proceedings of the 11th European Signal Processing Conference, 2002


  Loading...