S. Gupta, R. Gribonval, L. Daudet, and I. Dokmani?, Don't take it lightly: Phasing optical random projections with unknown operators, Advances in Neural Information Processing Systems, pp.14826-14836, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02342280

C. W. Hsu, S. F. Liew, A. Goetschy, H. Cao, and A. D. Stone, Correlation-enhanced control of wave focusing in disordered media, Nature Physics, vol.13, issue.5, p.497, 2017.

B. Rajaei, S. Gigan, F. Krzakala, and L. Daudet, Robust phase retrieval with the swept approximate message passing (prsamp) algorithm, 2016.

M. Sharma, C. A. Metzler, S. Nagesh, O. Cossairt, R. G. Baraniuk et al., Inverse scattering via transmission matrices: Broadband illumination and fast phase retrieval algorithms, IEEE Transactions on Computational Imaging, 2019.

E. J. Candes, X. Li, and M. Soltanolkotabi, Phase retrieval via wirtinger flow: Theory and algorithms, IEEE Transactions on Information Theory, vol.61, issue.4, 1985.

S. Popoff, G. Lerosey, R. Carminati, M. Fink, A. Boccara et al., Measuring the transmission matrix in optics: an approach to the study and control of light propagation in disordered media, Physical review letters, vol.104, issue.10, p.100601, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00448285

J. Yoon, K. Lee, J. Park, and Y. Park, Measuring optical transmission matrices by wavefront shaping, Optics Express, vol.23, issue.8, pp.10158-10167, 2015.

S. Popoff, G. Lerosey, M. Fink, A. C. Boccara, and S. Gigan, Image transmission through an opaque material, Nature communications, vol.1, p.81, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00524487

Y. Choi, T. D. Yang, C. Fang-yen, P. Kang, K. J. Lee et al., Overcoming the diffraction limit using multiple light scattering in a highly disordered medium, Physical review letters, vol.107, issue.2, p.23902, 2011.

A. Drémeau, A. Liutkus, D. Martina, O. Katz, C. Schülke et al., Reference-less measurement of the transmission matrix of a highly scattering material using a DMD and phase retrieval techniques, Optics express, vol.23, issue.9, pp.11898-11911, 2015.

B. Rajaei, E. W. Tramel, S. Gigan, F. Krzakala, and L. Daudet, Intensity-only optical compressive imaging using a multiply scattering material and a double phase retrieval approach, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.4054-4058, 2016.

J. R. Fienup, Phase retrieval algorithms: a comparison, Applied optics, vol.21, issue.15, pp.2758-2769, 1982.

K. Jaganathan, Y. C. Eldar, and B. Hassibi, Phase retrieval: An overview of recent developments, 2015.

Y. Shechtman, Y. C. Eldar, O. Cohen, H. N. Chapman, J. Miao et al., Phase retrieval with application to optical imaging: a contemporary overview, IEEE signal processing magazine, vol.32, issue.3, pp.87-109, 2015.

A. Rahimi and B. Recht, Random features for large-scale kernel machines, Advances in neural information processing systems, pp.1177-1184, 2008.

J. A. Tropp, A. Yurtsever, M. Udell, and V. Cevher, Practical sketching algorithms for low-rank matrix approximation, SIAM Journal on Matrix Analysis and Applications, vol.38, issue.4, pp.1454-1485, 2017.

N. Halko, P. Martinsson, and J. A. Tropp, Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions, SIAM review, vol.53, issue.2, pp.217-288, 2011.

P. Stoica and J. Li, Lecture notes-source localization from range-difference measurements, IEEE Signal Processing Magazine, vol.23, issue.6, pp.63-66, 2006.

I. Dokmanic, R. Parhizkar, J. Ranieri, and M. Vetterli, Euclidean distance matrices: essential theory, algorithms, and applications, IEEE Signal Processing Magazine, vol.32, issue.6, pp.12-30, 2015.

Y. Chen, Y. Chi, J. Fan, and C. Ma, Gradient descent with random initialization: Fast global convergence for nonconvex phase retrieval, 2018.