Publications

Papers

Accelerating Full-Scale Nonlinear Model Predictive Control via Surrogate Dynamics Optimization (2026)
with Guillaume Dupré, Alain Grossetête & Nicolas Vayatis
In long-horizon nonlinear MPC, we show that learned surrogate dynamics can significantly accelerate computation while preserving safety.
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Enhancing Nuclear Reactor Core Simulation through Data-Based Surrogate Models (2025)
with Alain Grossetête & Nicolas Vayatis
This paper develops a ML surrogate simulation scheme for fast integration of Differential Algebraic Equations modeling a nuclear reactor core.
ICAPP 2025
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Lipo+: Frugal global optimization for lipschitz functions (2024)
with Gaëtan Serré, Sophia Chirrane, Argyris Kalogeratos & Nicolas Vayatis
This paper develops two major improvements on the global optimization LIPO from Malherbe & Vayatis, 2017: an empirical stopping criterion and a decaying exploration rate.
SETN 2024
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Overview of AdaBoost: Reconciling its views to better understand its dynamics (2023)
Unifying the views of AdaBoost, in order to better understand its dynamics.
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Patents

A novel warm-start method for Optimal Control of Nuclear Power Plants (2025)
with Alain Grossetête & Nicolas Vayatis
Using a ML surrogate simulation scheme for fast integration of Differential Algebraic Equations, we design a warm-start method for NMPC applied to the load-following of Nuclear Power Plants.