G. I. Bell and S. Glasstone, Nuclear reactor theory, 1970.

S. R. Dwivedi, Zero variance biasing schemes for Monte-Carlo calculations of neutron and radiation transport problems, Nucl. Sci. Eng, vol.80, pp.172-178, 1982.

J. E. Hoogenboom, Zero-variance Monte Carlo schemes revisited, Nucl. Sci. Eng, vol.160, pp.1-22, 2008.

A. Haghighat and J. C. Wagner, Monte Carlo variance reduction with deterministic importance functions, Prog. Nucl. Energy, vol.42, pp.25-53, 2003.

E. D. Biondo, A. Davis, and P. P. Wilson, Shutdown dose rate analysis with CAD geometry, cartesian/tetrahedral mesh, and advanced variance reduction, Fusion Eng. Des, vol.106, pp.77-84, 2016.

J. M. Risner and E. D. Blakeman, Analysis of dpa Rates in the HFIR Reactor Vessel using a Hybrid Monte Carlo/Deterministic Method, EPJ Web of Conferences, vol.106, p.3003, 2016.

A. ?ufar, B. Kos, I. A. Kodeli, I. Lengar, ?. ?tancar et al., The analysis of the external neutron monitor responses in a simplified JET-Like tokamak using ADVANTG, Fusion Sci. Technol, vol.71, pp.162-176, 2017.

E. Brun, F. Damian, C. M. Diop, E. Dumonteil, F. Hugot et al., TRIPOLI-4 R , CEA, EDF and AREVA reference Monte Carlo code, Ann. Nucl. Energy, vol.82, pp.151-160, 2015.

I. Zmijarevic and R. Sanchez, Deterministic solutions for 3D Kobayashi benchmarks, Prog. Nucl. Energy, vol.39, pp.207-221, 2001.

T. E. Booth, Automatic importance estimation in forward Monte-Carlo calculations, Trans. Am. Nucl. Soc, vol.41, pp.308-309, 1982.

T. E. Booth and J. S. Hendricks, Importance estimation in forward Monte-Carlo calculations, Fusion Sci. Technol, vol.5, pp.90-100, 1984.

I. Murata, D. Filges, and F. Goldenbaum, A new approach to estimate importance for weight window in forward Monte Carlo calculations, Nucl. Sci. Eng, vol.159, pp.273-283, 2008.

E. Dumonteil, On a new variance reduction technique: neural network biasing -a study of two test cases with the Monte Carlo code Tripoli4, Nucl. Technol, vol.168, pp.793-798, 2009.

J. P. Both, J. C. Nimal, and T. Vergnaud, Automated importance generation and biasing techniques for Monte-Carlo shielding techniques by the TRIPOLI-3 code, Prog. Nucl. Energy, vol.24, pp.273-281, 1990.

H. Louvin, Development of an adaptive variance reduction technique for Monte Carlo particle transport, 2017.
URL : https://hal.archives-ouvertes.fr/tel-01661422

H. Louvin, E. Dumonteil, and T. Lelievre, Three-Dimensional Neutron Streaming Calculation Using Adaptive Multilevel Splitting, M&C 2017 -International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering, 2017.

D. Schneider, F. Dolci, F. Gabriel, and E. T. Al, Apollo3 R : Cea/Den Deterministic Multi-Purpose Code for Reactor Physics Analysis, Proceedings to PHYSOR 2016: Unifying theory and experiments in the 21 st century, pp.2274-2285, 2016.

J. Sweezy, F. Brown, T. Booth, J. Chiara-monte, and B. Preeg, Automated variance reduction for MCNP using deterministic methods, Radiat. Prot. Dosim, vol.116, pp.508-512, 2005.

S. W. Mosher, A. M. Bevill, S. R. Johnson, A. M. Ibrahim, C. R. Daily et al., AD-VANTG -An Automated Variance Reduction Parameter Generator, 2013.

T. E. Booth, Common misconceptions in Monte Carlo particle transport, proceedings of the 8th International Topical Meeting on Industrial Radiation and Radioisotope Measurement Applications, vol.70, pp.1042-1051, 2012.