P. Bessì-ere, E. Mazer, J. M. Ahuactzin, and K. Mekhnacha, Bayesian programming, 2013.

P. Blanche, M. Babaeian, M. Glick, J. Wissinger, R. Norwood et al., Optical implementation of probabilistic graphical models, 2016 IEEE International Conference on Rebooting Computing (ICRC), 2016.
DOI : 10.1109/ICRC.2016.7738702

K. Cherkaoui, V. Fischer, A. Aubert, and L. Fesquet, A Very High Speed True Random Number Generator with Entropy Assessment, Workshop on Cryptographic Hardware and Embedded Sys, pp.179-196, 2013.
DOI : 10.1007/978-3-642-40349-1_11
URL : https://hal.archives-ouvertes.fr/ujm-00859906

A. Coelho, R. Laurent, M. Solinas, J. Jr, E. Fraire et al., On the Robustness of Stochastic Bayesian Machines, IEEE Transactions on Nuclear Science, vol.PP, issue.99, pp.1-1, 2017.
DOI : 10.1109/TNS.2017.2678204
URL : https://hal.archives-ouvertes.fr/hal-01528649

A. Coninx, P. Bessì-ere, E. Mazer, J. Droulez, R. Laurent et al., Bayesian sensor fusion with fast and low power stochastic circuits, 2016 IEEE International Conference on Rebooting Computing (ICRC), 2016.
DOI : 10.1109/ICRC.2016.7738672
URL : https://hal.archives-ouvertes.fr/hal-01374910

A. Deleforge, R. Horaud, Y. Y. Schechner, and L. Girin, Co-Localization of Audio Sources in Images Using Binaural Features and Locally-Linear Regression, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.23, issue.4, pp.718-731, 2015.
DOI : 10.1109/TASLP.2015.2405475
URL : https://hal.archives-ouvertes.fr/hal-01112834

Y. Dorfan and S. Gannot, Tree-Based Recursive Expectation-Maximization Algorithm for Localization of Acoustic Sources, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.23, issue.10, pp.1692-1703, 2015.
DOI : 10.1109/TASLP.2015.2444654

M. Faix, E. Mazer, R. Laurent, M. O. Abdallah, R. L. Hy et al., Cognitive computation: A Bayesian machine case study, 2015 IEEE 14th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), pp.67-75, 2015.
DOI : 10.1109/ICCI-CC.2015.7259367

J. S. Friedman, L. E. Calvet, P. Bessì-ere, J. Droulez, and D. Querlioz, Bayesian Inference With Muller C-Elements, IEEE Transactions on Circuits and Systems I: Regular Papers, vol.63, issue.6
DOI : 10.1109/TCSI.2016.2546064
URL : https://hal.archives-ouvertes.fr/hal-01380709

I. and R. Papers, , pp.895-904, 2016.

R. Frisch, R. Laurent, M. Faix, L. Girin, L. Fesquet et al., A Bayesian Stochastic Machine for Sound Source Localization, 2017 IEEE International Conference on Rebooting Computing (ICRC), pp.1-8, 2017.
DOI : 10.1109/ICRC.2017.8123681
URL : https://hal.archives-ouvertes.fr/hal-01644346

B. Gaines, Stochastic computing systems, " in Advances in information systems science, pp.37-172, 1969.

N. Goodman, V. Mansinghka, D. Roy, K. Konawitz, and D. Tarlow, Church: a language for generative models, 2012.

E. T. Jaynes, Probability Theory: the Logic of Science, 2003.
DOI : 10.1017/CBO9780511790423

F. Keyrouz and K. Diepold, Binaural Source Localization and Spatial Audio Reproduction for Telepresence Applications, Presence: Teleoperators and Virtual Environments, vol.5, issue.2, pp.509-522, 2007.
DOI : 10.1559/152304097782438746

S. Khasanvis, M. Li, M. Rahman, A. K. Biswas, M. Salehi-fashami et al., Architecting for Causal Intelligence at Nanoscale, Computer, vol.48, issue.12, pp.54-64, 2015.
DOI : 10.1109/MC.2015.367

L. B. Kish, End of Moore's law: thermal (noise) death of integration in micro and nano electronics, Physics Letters A, vol.305, issue.3-4, pp.144-149, 2002.
DOI : 10.1016/S0375-9601(02)01365-8

V. T. Lee, A. Alaghi, J. P. Hayes, V. Sathe, L. Ceze et al., Energy-efficient hybrid stochastic-binary neural networks for near-sensor computing Estimation of the directpath relative transfer function for supervised sound-source localization, Des. Autom. Test Eur. Conf. Exhib. (DATE), pp.13-18, 2016.

M. I. Mandel, R. J. Weiss, and D. P. Ellis, Model-Based Expectation-Maximization Source Separation and Localization, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.2, pp.382-394, 2010.
DOI : 10.1109/TASL.2009.2029711

V. K. Mansinghka, D. Selsam, and Y. Perov, Venture: A higherorder probabilistic programming platform with programmable inference, arXiv preprint, vol.arXiv, pp.1404-0099, 2014.

T. May, S. Van-de-par, and A. Kohlrausch, A Probabilistic Model for Robust Localization Based on a Binaural Auditory Front-End, IEEE Transactions on Audio, Speech, and Language Processing, vol.19, issue.1, pp.1-13, 2011.
DOI : 10.1109/TASL.2010.2042128

B. Milch, B. Marthi, S. Russell, D. Sontag, D. L. Ong et al., BLOG: Probabilistic models with unknown objects, Statistical relational learning, p.373, 2007.

A. Mizrahi, N. Locatelli, R. Matsumoto, A. Fukushima, H. Kubota et al., Magnetic Stochastic Oscillators: Noise-Induced Synchronization to Underthreshold Excitation and Comprehensive Compact Model, IEEE Transactions on Magnetics, vol.51, issue.11, pp.1-4, 2015.
DOI : 10.1109/TMAG.2015.2439736
URL : https://hal.archives-ouvertes.fr/hal-01826839

A. Pfeffer, Practical Probabilistic Programming, Inductive Logic Programming, pp.2-3, 2011.
DOI : 10.1007/978-3-642-21295-6_2

T. Pfeil, A. C. Scherzer, J. Schemmel, and K. Meier, Neuromorphic learning towards nano second precision, The 2013 International Joint Conference on Neural Networks (IJCNN), pp.1-5, 2013.
DOI : 10.1109/IJCNN.2013.6706828

M. Raspaud, H. Viste, and G. Evangelista, Binaural Source Localization by Joint Estimation of ILD and ITD, IEEE Transactions on Audio, Speech, and Language Processing, vol.18, issue.1, pp.68-77, 2010.
DOI : 10.1109/TASL.2009.2023644

J. B. Tenenbaum, C. Kemp, T. L. Griffiths, and N. D. Goodman, How to Grow a Mind: Statistics, Structure, and Abstraction, Science, vol.14, issue.3, pp.1279-1285, 1279.
DOI : 10.1016/j.tics.2010.01.003

B. Vigoda, Analog logic: Continuous-time analog circuits for statistical signal processing, 2003.

J. Woodruff and D. Wang, Binaural Localization of Multiple Sources in Reverberant and Noisy Environments, IEEE Transactions on Audio, Speech, and Language Processing, vol.20, issue.5, pp.1503-1512, 2012.
DOI : 10.1109/TASL.2012.2183869