A. Anandkumar, R. Ge, D. Hsu, S. M. Kakade, and M. Telgarsky, Tensor Decompositions for Learning Latent Variable Models (A Survey for ALT), pp.19-38, 2015.
DOI : 10.1137/S0895479899352045

A. Bernardi, N. S. Daleo, J. D. Hauenstein, and B. Mourrain, Tensor decomposition and homotopy continuation. Differential Geometry and its Applications, 2017.
DOI : 10.1016/j.difgeo.2017.07.009

URL : https://hal.archives-ouvertes.fr/hal-01250398

A. Bernardi, J. Brachat, P. Comon, and B. Mourrain, General tensor decomposition, moment matrices and applications, Journal of Symbolic Computation, vol.52, pp.51-71, 2013.
DOI : 10.1016/j.jsc.2012.05.012

URL : https://hal.archives-ouvertes.fr/inria-00590965

J. Brachat, P. Comon, B. Mourrain, and E. P. Tsigaridas, Symmetric tensor decomposition. Linear Algebra and Applications, pp.11-121851, 2010.
DOI : 10.1016/j.laa.2010.06.046

URL : https://hal.archives-ouvertes.fr/inria-00355713

P. Comon and C. Jutten, Handbook of Blind Source Separation: Independent component analysis and applications. Academic press, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00460653

M. Elkadi and B. Mourrain, IntroductionàIntroduction`Introductionà la résolution des systèmes polynomiaux, Mathématiques et Applications, vol.59, 2007.

J. Harmouch, H. Khalil, and B. Mourrain, Structured low rank decomposition of multivariate Hankel matrices, Linear Algebra and its Applications, 2017.
DOI : 10.1016/j.laa.2017.04.015

URL : https://hal.archives-ouvertes.fr/hal-01440063

A. Connelly, J. D. Tournier, and F. Calamante, Robust determination of the fiber orientation distribution in diffusion mri: Non-negativity constrained superresolved spherical deconvolution, NI, vol.35, issue.4, pp.1459-1472, 2007.

T. Jiang and N. D. Sidiropoulos, Kruskal's Permutation Lemma and the Identification of CANDECOMP/PARAFAC and Bilinear Models with Constant Modulus Constraints, IEEE Transactions on Signal Processing, vol.52, issue.9, pp.2625-2636, 2004.
DOI : 10.1109/TSP.2004.832022

J. M. Landsberg, Tensors: Geometry and Applications. Graduate studies in mathematics, 2011.
DOI : 10.1090/gsm/128

D. Lathauwer, L. Castaing, and J. , Tensor-based techniques for the blind separation of DS???CDMA signals, Signal Processing, vol.87, issue.2, pp.322-336, 2007.
DOI : 10.1016/j.sigpro.2005.12.015

T. Megherbi, M. Kachouane, F. O. Boumghar, and R. Deriche, Détection des croisements de fibre en IRM de diffusion par décomposition de tenseur : Approche analytique, Reconnaissance de Formes et Intelligence Artificielle, 2014.

B. Mourrain, Isolated points, duality and residues, Journal of Pure and Applied Algebra, vol.117, issue.118, pp.469-493, 1996.
DOI : 10.1016/S0022-4049(97)00023-6

URL : https://hal.archives-ouvertes.fr/inria-00125278

B. Mourrain, Polynomial-exponential decomposition from moments. Found, Comput. Math, 2016.
DOI : 10.1007/s10208-017-9372-x

URL : https://hal.archives-ouvertes.fr/hal-01367730

S. Roch, A Short Proof that Phylogenetic Tree Reconstruction by Maximum Likelihood Is Hard, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.3, issue.1, 2006.
DOI : 10.1109/TCBB.2006.4

URL : http://arxiv.org/pdf/math/0504378v1.pdf

E. Sanchez and B. R. Kowalski, Tensorial resolution: A direct trilinear decomposition, Journal of Chemometrics, vol.3, issue.1, pp.29-45, 1990.
DOI : 10.1016/0584-8539(88)80003-5

N. D. Sidiropoulos, G. B. Giannakis, and R. Bro, Blind PARAFAC receivers for DS-CDMA systems, IEEE Transactions on Signal Processing, vol.48, issue.3, pp.810-823, 2000.
DOI : 10.1109/78.824675

URL : http://spincom.ece.umn.edu/papers/journal/2000/SP_Parafac.pdf

A. Smilde, R. Bro, and P. Geladi, Multi-way analysis: applications in the chemical sciences, 2005.
DOI : 10.1002/0470012110

M. S. Atkins, T. Y. Weldeselassie, and A. Barmpoutis, Symmetric positive semi-definite cartesian tensor fiber orientation distributions (ct-fod), Medical Image Analysis Journal, vol.16, issue.6, pp.1121-1129, 2012.