@article{Magron2022,
  author = {Magron, P. and Févotte, C.} ,
  title = {Neural content-aware collaborative filtering for cold-start music recommendation},
  journal = {Data Mining and Knowledge Discovery},
  year = {2022},
  url = {https://arxiv.org/abs/2102.12369},
  doi = {https://doi.org/10.1007/s10618-022-00859-8}
}

@article{Magron2022,
  author = {Magron, P. and Févotte, C.} ,
  title = {A majorization-minimization algorithm for nonnegative binary matrix factorization},
  journal = {IEEE Signal Processing Letters},
  year = {2022},
  volume = {29},
  pages = {1526--1530},
  url = {https://arxiv.org/abs/2204.09741},
  doi = {https://doi.org/10.1109/LSP.2022.3187368}
}

@article{Vial2022,
  author = {P.-H. Vial and P. Magron and T. Oberlin and C. Févotte} ,
  title = {Learning the proximity operator in unfolded ADMM for phase retrieval},
  journal = {IEEE Signal Processing Letters},
  year = {2022},
  volume = {29},
  pages = {1619--1623},
  url = {https://arxiv.org/abs/2204.01360},
  doi = {https://doi.org/10.1109/LSP.2022.3189275}
}

@article{Zhang2022,
  author = {S. Zhang and E. Soubies and C. Févotte} ,
  title = {Leveraging joint-diagonalization in transform-learning NMF},
  journal = {IEEE Transactions on Signal Processing},
  year = {2022},
  volume = {70},
  pages = {3802--3817},
  url = {https://arxiv.org/abs/2112.05664},
  doi = {https://doi.org/10.1109/TSP.2022.3188177}
}

@article{Castera2022,
  author = {Castera, C. and Bolte, J. and Févotte, C. and Pauwels, E.} ,
  title = {Second-order step-size tuning of SGD for non-convex optimization},
  journal = {Neural Processing Letters},
  year = {2022},
  volume = {54},
  number = {3},
  pages = {1727--1752},
  url = {https://arxiv.org/pdf/2103.03570}
}

@article{Leplat2022,
  author = {V. Leplat and N. Gillis and C. Févotte} ,
  title = {Multi-resolution beta-divergence NMF for blind spectral unmixing},
  journal = {Signal Processing},
  year = {2022},
  volume = {193},
  pages = {108428},
  url = {https://arxiv.org/pdf/2007.03893},
  doi = {https://doi.org/10.1016/j.sigpro.2021.108428}
}

@techreport{Marmin2022,
  author = {Marmin, A. and Goulart, J. H.  de M. and Févotte, C.} ,
  title = {Majorization-minimization for sparse nonnegative matrix factorization with the beta-divergence},
  institution = {arXiv},
  year = {2022},
  url = {https://arxiv.org/abs/2207.06316}
}

@techreport{Mokry2022,
  author = {Mokrý, O. and Magron, P. and Oberlin, T. and Févotte, C.} ,
  title = {Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization},
  institution = {arXiv},
  year = {2022},
  url = {https://arxiv.org/abs/2206.13768}
}

@article{Vial2021,
  author = {P.-H. Vial and P. Magron and T. Oberlin and C. Févotte} ,
  title = {Phase retrieval with Bregman divergences and application to audio signal recovery},
  journal = {IEEE Journal of Selected Topics in Signal Processing},
  year = {2021},
  volume = {15},
  number = {1},
  pages = {51--64},
  url = {https://arxiv.org/pdf/2010.00392},
  doi = {https://doi.org/10.1109/JSTSP.2021.3051870}
}

@article{Cai2021,
  author = {Cai, T. and Tan, V. Y. F. and Févotte, C.} ,
  title = {Adversarially-trained nonnegative matrix factorization},
  journal = {IEEE Signal Processing Letters},
  year = {2021},
  volume = {28},
  pages = {1415--1419},
  url = {https://arxiv.org/pdf/2104.04757},
  doi = {https://doi.org/10.1109/LSP.2021.3092231}
}

@article{Filstroff2021,
  author = {L. Filstroff and O. Gouvert and C. Févotte and O. Cappé} ,
  title = {A comparative study of Gamma Markov chains for temporal non-negative factorization},
  journal = {IEEE Transactions on Signal Processing},
  year = {2021},
  volume = {69},
  pages = {1614--1626},
  url = {https://arxiv.org/pdf/2006.12843},
  doi = {https://doi.org/10.1109/TSP.2021.3060000}
}

@article{Lahat2021,
  author = {D. Lahat and Y. Lang and V. Y. F. Tan and C. Févotte} ,
  title = {Positive semidefinite matrix factorization: A connection with phase retrieval and affine rank minimization},
  journal = {IEEE Transactions on Signal Processing},
  year = {2021},
  volume = {69},
  pages = {3059--3074},
  url = {https://arxiv.org/pdf/2007.12364},
  doi = {https://doi.org/10.1109/TSP.2021.3071293}
}

@article{Castera2021,
  author = {C. Castera and J. Bolte and C. Févotte and E. Pauwels} ,
  title = {An inertial Newton algorithm for deep learning},
  journal = {Journal of Machine Learning Research},
  year = {2021},
  volume = {22},
  number = {134},
  pages = {1-31},
  url = {https://www.jmlr.org/papers/volume22/19-1024/19-1024.pdf}
}

@article{Dantas2021a,
  author = {Dantas, C. and Soubies, E. and Févotte, C.} ,
  title = {Expanding boundaries of Gap Safe screening},
  journal = {Journal of Machine Learning Research},
  year = {2021},
  volume = {22},
  number = {236},
  pages = {1--57},
  url = {https://www.jmlr.org/papers/volume22/21-0179/21-0179.pdf}
}

@inproceedings{Chapel2021,
  author = {L. Chapel and R. Flamary and H. Wu and C. Févotte and G. Gasso} ,
  title = {Unbalanced optimal transport through non-negative penalized linear regression},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://arxiv.org/pdf/2106.04145}
}

@inproceedings{Dantas2021,
  author = {C. Dantas and E. Soubies and C. Févotte} ,
  title = {Safe screening for sparse regression with the Kullback-Leibler divergence},
  booktitle = {Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  month = {June},
  year = {2021},
  url = {https://hal.archives-ouvertes.fr/hal-03147345/document}
}

@inproceedings{Magron2021,
  author = {P. Magron and C. Févotte} ,
  title = {Leveraging the structure of musical preference in content-aware music recommendation},
  booktitle = {Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  month = {June},
  year = {2021},
  url = {https://arxiv.org/pdf/2010.10276}
}

@inproceedings{Magron2021a,
  author = {Magron, P. and Vial, P.-H. and Oberlin, T. and Févotte, C.} ,
  title = {Phase recovery with Bregman divergences for audio source separation},
  booktitle = {Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  month = {June},
  year = {2021},
  url = {https://arxiv.org/pdf/2010.10255}
}

@techreport{Marmin2021,
  author = {Marmin, A. and Goulart, J. H.  de M. and Févotte, C.} ,
  title = {Joint majorization-minimization for nonnegative matrix factorization with the beta-divergence},
  institution = {arXiv},
  month = {June},
  year = {2021},
  url = {https://arxiv.org/pdf/2106.15214}
}

@article{Lumbreras2020,
  author = {A. Lumbreras and L. Filstroff and C. Févotte} ,
  title = {Bayesian mean-parameterized nonnegative binary matrix factorization},
  journal = {Data Mining and Knowledge Discovery},
  month = {Nov.},
  year = {2020},
  volume = {34},
  number = {6},
  pages = {1898--1935},
  url = {https://arxiv.org/pdf/1812.06866},
  doi = {https://doi.org/10.1007/s10618-020-00712-w}
}

@article{Gouvert2020,
  author = {O. Gouvert and T. Oberlin and C. Févotte} ,
  title = {Negative binomial matrix factorization},
  journal = {IEEE Signal Processing Letters},
  month = {Dec.},
  year = {2020},
  volume = {27},
  pages = {815-819},
  url = {https://hal.archives-ouvertes.fr/hal-02871905/document},
  doi = {https://doi.org/10.1109/LSP.2020.2991613}
}

@article{Zhang2020,
  author = {S.  Zhang and E. Soubies and C. Févotte} ,
  title = {On the identifiability of transform learning for non-negative matrix factorization},
  journal = {IEEE Signal Processing Letters},
  month = {Aug.},
  year = {2020},
  volume = {27},
  pages = {1555--1559},
  url = {https://hal.archives-ouvertes.fr/hal-02542653v3/document},
  doi = {https://doi.org/10.1109/LSP.2020.3020431}
}

@incollection{Devy2020,
  author = {Devy, M. and Lerasle, F. and Dobigeon, N. and Févotte, C.} ,
  title = {Perception et apprentissage de représentations},
  booktitle = {Intelligence artificielle - Regards croisés de chercheur.es},
  publisher = {La Dépêche; CNRS},
  year = {2020}
}

@inproceedings{Gouvert2020a,
  author = {O. Gouvert and T. Oberlin and C. Févotte} ,
  title = {Ordinal non-negative matrix factorization for recommendation},
  booktitle = {Proc. International Conference on Machine Learning (ICML)},
  month = {July},
  year = {2020},
  url = {https://arxiv.org/pdf/2006.01034}
}

@inproceedings{Lahat2020,
  author = {D. Lahat and C. Févotte} ,
  title = {Positive semidefinite matrix factorization based on truncated Wirtinger flow},
  booktitle = {Proc. European Signal Processing Conference (EUSIPCO)},
  year = {2020},
  url = {https://hal.archives-ouvertes.fr/hal-02886419/document}
}

@inproceedings{Lahat2020,
  author = {D. Lahat and C. Févotte} ,
  title = {Positive semidefinite matrix factorization: link to phase retrieval and a block gradient algorithm},
  booktitle = {Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  month = {May},
  year = {2020},
  url = {https://hal.archives-ouvertes.fr/hal-02875241/document},
  doi = {https://doi.org/10.1109/ICASSP40776.2020.9053938}
}

@article{Cavalcanti2019,
  author = {Y. C. Cavalcanti and T. Oberlin and N. Dobigeon and C. Févotte and S. Stute and M. Ribeiro and C. Tauber} ,
  title = {Factor analysis of dynamic PET images: Beyond Gaussian noise},
  journal = {IEEE Transactions on Medical Imaging},
  month = {Sep.},
  year = {2019},
  volume = {38},
  number = {9},
  pages = {2231--2241},
  url = {https://arxiv.org/pdf/1807.11455},
  doi = {https://doi.org/10.1109/TMI.2019.2906828}
}

@inproceedings{Ablin2019,
  author = {P. Ablin and D. Fagot and H. Wendt and A. Gramfort and C. Févotte} ,
  title = {A quasi-Newton algorithm on the orthogonal manifold for NMF with transform learning},
  booktitle = {Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  month = {May},
  year = {2019},
  url = {https://www.irit.fr/ Cedric.Fevotte/publications/proceedings/icassp2019b.pdf}
}

@inproceedings{Castera2019,
  author = {C. Castera and J. Bolte and C. Févotte and E. Pauwels} ,
  title = {An inertial Newton algorithm for deep learning},
  booktitle = {Proc. NeurIPS Workshop ``Beyond First Order Methods in ML"},
  month = {Dec.},
  year = {2019},
  url = {https://www.irit.fr/ Cedric.Fevotte/publications/proceedings/beyondFO2019.pdf}
}

@inproceedings{Cavalcanti2019,
  author = {Y. C. Cavalcanti and T. Oberlin and N. Dobigeon and C. Févotte and S. Stute and C. Tauber} ,
  title = {Unmixing dynamic PET images: Combining spatial heterogeneity and non-gaussian noise},
  booktitle = {Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  month = {May},
  year = {2019},
  url = {https://www.irit.fr/ Cedric.Fevotte/publications/proceedings/icassp2019c.pdf}
}

@inproceedings{Fagot2019,
  author = {D. Fagot and H. Wendt and C. Févotte and P. Smaragdis} ,
  title = {Majorization-minimization algorithms for convolutive NMF with the beta-divergence},
  booktitle = {Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  month = {May},
  year = {2019},
  url = {https://www.irit.fr/ Cedric.Fevotte/publications/proceedings/icassp2019a.pdf}
}

@inproceedings{Gouvert2019,
  author = {O. Gouvert and T. Oberlin and C. Févotte} ,
  title = {Recommendation from raw data with adaptive compound Poisson factorization},
  booktitle = {Proc. Conference on Uncertainty in Artificial Intelligence (UAI)},
  month = {July},
  year = {2019},
  url = {https://arxiv.org/pdf/1905.13128}
}

@inproceedings{Xia2019,
  author = {R. Xia and V. Y. F. Tan and L. Filstroff and C. Févotte} ,
  title = {A ranking model motivated by nonnegative matrix factorization with applications to tennis tournaments},
  booktitle = {Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD)},
  month = {Sep.},
  year = {2019},
  url = {https://arxiv.org/abs/1903.06500}
}

@article{Fevotte2018a,
  author = {C. Févotte and M. Kowalski} ,
  title = {Estimation with low-rank time-frequency synthesis models},
  journal = {IEEE Transactions on Signal Processing},
  month = {Aug.},
  year = {2018},
  volume = {66},
  number = {15},
  pages = {4121--4132},
  url = {https://arxiv.org/pdf/1804.09497},
  doi = {https://doi.org/10.1109/TSP.2018.2844159}
}

@incollection{Fevotte2018,
  author = {C. Févotte and E. Vincent and A. Ozerov} ,
  title = {Single-channel audio source separation with NMF: divergences, constraints and algorithms},
  booktitle = {Audio Source Separation},
  editor = {S. Makino},
  publisher = {Springer},
  year = {2018},
  pages = {1--24},
  url = {https://hal.inria.fr/hal-01631185/file/fevotte_book18.pdf}
}

@incollection{Fevotte2018,
  author = {C. Févotte and P. Smaragdis and N. Mohammadiha and G. Mysore} ,
  title = {Temporal extensions of nonnegative matrix factorization},
  booktitle = {Audio Source Separation and Speech Enhancement},
  editor = {E. Vincent and T. Virtanen and S. Gannot},
  publisher = {Wiley},
  month = {Sep.},
  year = {2018},
  url = {https://www.irit.fr/ Cedric.Fevotte/publications/chapters/asssp2018.pdf}
}

@incollection{Ozerov2018,
  author = {A. Ozerov and C. Févotte and E. Vincent} ,
  title = {An introduction to multichannel NMF for audio source separation},
  booktitle = {Audio Source Separation},
  editor = {S. Makino},
  publisher = {Springer},
  year = {2018},
  pages = {73--94},
  url = {https://hal.inria.fr/hal-01631187/file/ozerov_book18.pdf}
}

@inproceedings{Fagot2018,
  author = {D. Fagot and H. Wendt and C. Févotte} ,
  title = {Nonnegative matrix factorization with transform learning},
  booktitle = {Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  month = {Apr.},
  year = {2018},
  url = {https://www.irit.fr/ Cedric.Fevotte/publications/proceedings/icassp18.pdf}
}

@inproceedings{Filstroff2018,
  author = {L. Filstroff and A. Lumbreras and C. Févotte} ,
  title = {Closed-form marginal likelihood in Gamma-Poisson matrix factorizations},
  booktitle = {Proc. International Conference on Machine Learning (ICML)},
  month = {July},
  year = {2018},
  url = {https://arxiv.org/pdf/1801.01799}
}

@inproceedings{Gouvert2018a,
  author = {O. Gouvert and T. Oberlin and C. Févotte} ,
  title = {Matrix co-factorization for cold-start recommendation},
  booktitle = {Proc. International Society for Music Information Retrieval Conference (ISMIR)},
  month = {Sep.},
  year = {2018},
  url = {https://www.irit.fr/ Cedric.Fevotte/publications/proceedings/ismir2018.pdf}
}

@inproceedings{Wendt2018,
  author = {H. Wendt and D. Fagot and C. Févotte} ,
  title = {Jacobi algorithm for nonnegative matrix factorization with transform learning},
  booktitle = {Proc. European Signal Processing Conference (EUSIPCO)},
  month = {Sep.},
  year = {2018},
  url = {https://www.irit.fr/ Cedric.Fevotte/publications/proceedings/eusipco2018.pdf}
}

@techreport{Gouvert2018,
  author = {O. Gouvert and T. Oberlin and C. Févotte} ,
  title = {Negative binomial matrix factorization for recommender systems},
  institution = {arXiv},
  year = {2018},
  url = {https://arxiv.org/pdf/1801.01708}
}

@inproceedings{Flamary2016,
  author = {R. Flamary and C. Févotte and N. Courty and V. Emiya} ,
  title = {Optimal spectral transportation with application to music transcription},
  booktitle = {Advances in Neural Information Processing Systems (NIPS)},
  month = {Dec.},
  year = {2016},
  url = {https://www.irit.fr/ Cedric.Fevotte/publications/proceedings/nips16.pdf}
}