E. Acar, T. G. Kolda, and D. M. Dunlavy, All-at-once optimization for coupled matrix and tensor factorizations, 2011.

E. Acar, A. J. Lawaetz, M. A. Rasmussen, and R. Bro, Structure-revealing data fusion model with applications in metabolomics, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp.6023-6026, 2013.
DOI : 10.1109/EMBC.2013.6610925

E. Acar, M. A. Rasmussen, F. Savorani, T. Naes, and R. Bro, Understanding data fusion within the framework of coupled matrix and tensor factorizations, Chemometrics and Intelligent Laboratory Systems, vol.129, pp.53-63, 2013.
DOI : 10.1016/j.chemolab.2013.06.006

A. Aldroubi and K. Gröchenig, Nonuniform Sampling and Reconstruction in Shift-Invariant Spaces, SIAM Review, vol.43, issue.4, pp.585-620, 2001.
DOI : 10.1137/S0036144501386986

A. Banerjee, S. Basu, and S. Merugu, Multi-way Clustering on Relation Graphs, SDM, pp.225-334, 2007.
DOI : 10.1137/1.9781611972771.14

V. D. Calhoun, T. Adali, N. R. Giuliani, J. J. Pekar, K. A. Kiehl et al., Method for multimodal analysis of independent source differences in schizophrenia: Combining gray matter structural and auditory oddball functional data, Human Brain Mapping, vol.13, issue.1, pp.47-62, 2006.
DOI : 10.1002/hbm.20166

V. D. Calhoun, T. Adal?, K. A. Kiehl, R. Astur, J. J. Pekar et al., A method for multitask fMRI data fusion applied to schizophrenia, Human Brain Mapping, vol.4, issue.7, pp.598-610, 2006.
DOI : 10.1002/hbm.20204

P. Comon, X. Luciani, and A. L. De-almeida, Tensor decompositions, alternating least squares and other tales, Journal of Chemometrics, vol.78, issue.8, pp.393-405, 2009.
DOI : 10.1016/j.laa.2009.01.014/

URL : https://hal.archives-ouvertes.fr/hal-00410057

P. Comon and M. Rajih, Blind identification of under-determined mixtures based on the characteristic function, Signal Processing, vol.86, issue.9, pp.2271-2281, 2006.
DOI : 10.1016/j.sigpro.2005.10.007

URL : https://hal.archives-ouvertes.fr/hal-00263668

B. Ermi¸sermi¸s, E. Acar, and A. T. , Link prediction via generalized coupled tensor factorisation, 2012.

R. A. Harshman and M. E. Lundy, Data preprocessing and the extended PARAFAC model. Research Methods for Multimode Data Analysis, pp.216-284, 1984.

B. Jørgensen, The theory of exponential dispersion models and analysis of deviance. Number 51, 1992.

T. G. Kolda and B. W. Bader, Tensor Decompositions and Applications, SIAM Review, vol.51, issue.3, pp.455-500, 2009.
DOI : 10.1137/07070111X

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.782

Y. Lin, J. Sun, P. Castro, R. Konuru, H. Sundaram et al., MetaFac, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pp.527-536, 2009.
DOI : 10.1145/1557019.1557080

E. Margolis and Y. C. Eldar, Nonuniform Sampling of Periodic Bandlimited Signals, IEEE Transactions on Signal Processing, vol.56, issue.7, pp.2728-2745, 2008.
DOI : 10.1109/TSP.2008.917416

N. Seichepine, S. Essid, C. Fevotte, and O. Cappé, Soft Nonnegative Matrix Co-Factorization, IEEE Transactions on Signal Processing, vol.62, issue.22, pp.5940-5949, 2014.
DOI : 10.1109/TSP.2014.2360141

URL : https://hal.archives-ouvertes.fr/hal-01116863

A. P. Singh and G. J. Gordon, Relational learning via collective matrix factorization, Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD 08, pp.650-658, 2008.
DOI : 10.1145/1401890.1401969

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.6607

L. Sorber, M. Van-barel, and L. De-lathauwer, Structured Data Fusion, IEEE Journal of Selected Topics in Signal Processing, vol.9, issue.4, pp.13-177, 2013.
DOI : 10.1109/JSTSP.2015.2400415

M. Sørensen and L. De-lathauwer, Coupled canonical polyadic decompositions and (coupled) decompositions in multilinear rank-(Lr,n, Lr,n, 1) terms. Part I: Uniqueness, p.2013

M. Sørensen, I. Domanov, D. Nion, and L. De-lathauwer, Coupled canonical polyadic decompositions and (coupled) decompositions in multilinear rank(Lr ,n, Lr,n, 1) terms. Part II: Algorithms, p.2013

J. Sui, T. Adali, Q. Yu, J. Chen, and V. D. Calhoun, A review of multivariate methods for multimodal fusion of brain imaging data, Journal of Neuroscience Methods, vol.204, issue.1, pp.68-81, 2012.
DOI : 10.1016/j.jneumeth.2011.10.031

K. Y. Y?lmaz, A. T. Cemgil, and U. Simsekli, Generalised coupled tensor factorisation, Adv. Neural. Inf. Process. Syst, pp.2151-2159, 2011.

Y. K. Yilmaz and A. T. , Alpha/beta divergences and tweedie models, 2012.