A numerical algorithm for fully nonlinear HJB equations: An approach by control randomization. - Idris Kharroubi; Nicolas Langrené; Huyên Pham (Monte Carlo Methods Appl., 2014)

A Probabilistic Numerical Method for Optimal Multiple Switching Problems in High Dimension. - René Aïd; Luciano Campi; Nicolas Langrené; Huyên Pham (SIAM J. Financial Math., 2014)

Probabilistic numerical methods for high-dimensional stochastic control and valuation problems on electricity markets. (Méthodes numériques probabilistes en grande dimension pour le contrôle stochastique et problèmes de valorisation sur les marchés d'électricité). - Nicolas Langrené (2014)

Deep neural network for optimal retirement consumption in defined contribution pension system. - Wen Chen; Nicolas Langrené (CoRR, 2020)

Versatile and Robust Transient Stability Assessment via Instance Transfer Learning. - Seyedali Meghdadi; Guido Tack; Ariel Liebman; Nicolas Langrené; Christoph Bergmeir (CoRR, 2021)

Fast multivariate empirical cumulative distribution function with connection to kernel density estimation. - Nicolas Langrené; Xavier Warin (Comput. Stat. Data Anal., 2021)

Visual Diagnostics for Constrained Optimisation with Application to Guided Tours. - H. Sherry Zhang; Dianne Cook; Ursula Laa; Nicolas Langrené; Patricia Menéndez (R J., 2021)

Deep Neural Networks Algorithms for Stochastic Control Problems on Finite Horizon: Convergence Analysis. - Côme Huré; Huyên Pham; Achref Bachouch; Nicolas Langrené (SIAM J. Numer. Anal., 2021)

Designing higher value roads to preserve species at risk by optimally controlling traffic flow. - Nicholas Davey; Nicolas Langrené; Wen Chen; Jonathan R. Rhodes; Simon Dunstall; Saman K. Halgamuge (Ann. Oper. Res., 2023)

Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review. - Banghao Chen; Zhaofeng Zhang; Nicolas Langrené; Shengxin Zhu (CoRR, 2023)

From attention to profit: quantitative trading strategy based on transformer. - Zhaofeng Zhang; Banghao Chen; Shengxin Zhu; Nicolas Langrené (CoRR, 2024)

Studying the Performance of the Jellyfish Search Optimiser for the Application of Projection Pursuit. - H. Sherry Zhang; Dianne Cook; Nicolas Langrené; Jessica Wai Yin Leung (CoRR, 2024)

New random projections for isotropic kernels using stable spectral distributions. - Nicolas Langrené; Xavier Warin; Pierre Gruet (CoRR, 2024)

cubble: An R Package for Organizing and Wrangling Multivariate Spatio-Temporal Data. - H. Sherry Zhang; Dianne Cook; Ursula Laa; Nicolas Langrené; Patricia Menéndez (J. Stat. Softw., 2024)

A Tidy Framework and Infrastructure to Systematically Assemble Spatio-temporal Indexes from Multivariate Data. - H. Sherry Zhang; Dianne Cook; Ursula Laa; Nicolas Langrené; Patricia Menéndez (J. Comput. Graph. Stat., 2025)

Unleashing the potential of prompt engineering for large language models. - Banghao Chen; Zhaofeng Zhang; Nicolas Langrené; Shengxin Zhu (Patterns, 2025)