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Regularization via deep generative models: an analysis point of view

Jan 21, 2021
Thomas Oberlin, Mathieu Verm


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Ordinal Non-negative Matrix Factorization for Recommendation

Jun 05, 2020
Olivier Gouvert, Thomas Oberlin, CĂ©dric FĂ©votte

* Accepted for publication at ICML 2020 

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Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling

Feb 04, 2020
Etienne Monier, Thomas Oberlin, Nathalie Brun, Xiaoyan Li, Marcel Tencé, Nicolas Dobigeon


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Hyperspectral and multispectral image fusion under spectrally varying spatial blurs -- Application to high dimensional infrared astronomical imaging

Dec 26, 2019
Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon


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Recommendation from Raw Data with Adaptive Compound Poisson Factorization

May 20, 2019
Olivier Gouvert, Thomas Oberlin, CĂ©dric FĂ©votte

* Accepted for publication at UAI 2019 

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Factor analysis of dynamic PET images: beyond Gaussian noise

Jul 30, 2018
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Simon Stute, Maria-Joao Ribeiro, Clovis Tauber


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Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images

Jul 21, 2018
Vinicius Ferraris, Nicolas Dobigeon, Yanna Cavalcanti, Thomas Oberlin, Marie Chabert

* Submitted manuscript under consideration at Computer Vision and Image Understanding 

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Reconstruction of partially sampled multi-band images - Application to STEM-EELS imaging

Feb 27, 2018
Étienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Marta de Frutos, Nicolas Dobigeon


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Negative Binomial Matrix Factorization for Recommender Systems

Jan 05, 2018
Olivier Gouvert, Thomas Oberlin, CĂ©dric FĂ©votte


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Unmixing dynamic PET images with variable specific binding kinetics

Dec 09, 2017
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Simon Stute, Maria Ribeiro, Clovis Tauber


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