Here is a small list of highly valuable references on diverse subjects !
🤖 Machine Learning
- Shalev-Shwartz, S., & Ben-David, S. (2014). Understanding machine learning: From theory to algorithms. Cambridge university press.
- Raissi, M., Perdikaris, P., & Karniadakis, G. E. (2019). Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations. Journal of Computational physics, 378, 686-707.
- Doumèche, N., Biau, G., & Boyer, C. (2025). On the convergence of PINNs. Bernoulli, 31(3), 2127-2151.
📈 Optimization
- Boyd, S. P., & Vandenberghe, L. (2004). Convex optimization. Cambridge university press.
- Nocedal, J., & Wright, S. J. (2006). Numerical optimization. New York, NY: Springer New York.
🖥️ Numerical Simulation & Analysis
- Hairer, E., Wanner, G., & Nørsett, S. P. (1993). Solving ordinary differential equations I: Nonstiff problems. Berlin, Heidelberg: Springer Berlin Heidelberg.
- Wanner, G., & Hairer, E. (1996). Solving ordinary differential equations II (Vol. 375, p. 98). New York: Springer Berlin Heidelberg.
- Khalil, H. K., & Grizzle, J. W. (2002). Nonlinear systems (Vol. 3). Upper Saddle River, NJ: Prentice hall.
🎛️ Model Predictive Control
- Rawlings, J. B., Mayne, D. Q., & Diehl, M. (2020). Model predictive control: theory, computation, and design (Vol. 2). Madison, WI: Nob Hill Publishing.
- Khalil, H. K., & Grizzle, J. W. (2002). Nonlinear systems (Vol. 3). Upper Saddle River, NJ: Prentice hall.
- Dupre, G. (2023). Conception de systèmes de contrôle avancé de reacteur PWR flexible (Doctoral dissertation, Ecole nationale supérieure Mines-Télécom Atlantique).
☢️ Nuclear Engineering
- Dupre, G. (2023). Conception de systèmes de contrôle avancé de reacteur PWR flexible (Doctoral dissertation, Ecole nationale supérieure Mines-Télécom Atlantique).
- Reuss, P. (2003). Précis de neutronique (p. 534). EDP sciences.
🔹 Others
- Serré, G., Kalogeratos, A., & Vayatis, N. (2024). Stein Boltzmann sampling: A variational approach for global optimization. arXiv preprint arXiv:2402.04689.
- Campagne, E., Amara-Ouali, Y., Goude, Y., & Kalogeratos, A. (2024). Leveraging graph neural networks to forecast electricity consumption. arXiv preprint arXiv:2408.17366.
- Abel, G., Kalogeratos, A., Nadal, J. P., & Randon-Furling, J. (2025). Uncovering Social Network Activity Using Joint User and Topic Interaction. arXiv preprint arXiv:2506.12842.