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Nicolas Langrené
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2020 – today
- 2024
- [j7]H. Sherry Zhang, Dianne Cook, Ursula Laa, Nicolas Langrené, Patricia Menéndez:
cubble: An R Package for Organizing and Wrangling Multivariate Spatio-Temporal Data. J. Stat. Softw. 110(7) (2024) - [i6]Zhaofeng Zhang, Banghao Chen, Shengxin Zhu, Nicolas Langrené:
From attention to profit: quantitative trading strategy based on transformer. CoRR abs/2404.00424 (2024) - [i5]H. Sherry Zhang, Dianne Cook, Nicolas Langrené, Jessica Wai Yin Leung:
Studying the Performance of the Jellyfish Search Optimiser for the Application of Projection Pursuit. CoRR abs/2407.13663 (2024) - 2023
- [j6]Nicholas Davey, Nicolas Langrené, Wen Chen, Jonathan R. Rhodes, Simon Dunstall, Saman K. Halgamuge:
Designing higher value roads to preserve species at risk by optimally controlling traffic flow. Ann. Oper. Res. 320(2): 663-693 (2023) - [i4]Banghao Chen, Zhaofeng Zhang, Nicolas Langrené, Shengxin Zhu:
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review. CoRR abs/2310.14735 (2023) - 2021
- [j5]Nicolas Langrené, Xavier Warin:
Fast multivariate empirical cumulative distribution function with connection to kernel density estimation. Comput. Stat. Data Anal. 162: 107267 (2021) - [j4]H. Sherry Zhang, Dianne Cook, Ursula Laa, Nicolas Langrené, Patricia Menéndez:
Visual Diagnostics for Constrained Optimisation with Application to Guided Tours. R J. 13(2): 542 (2021) - [j3]Côme Huré, Huyên Pham, Achref Bachouch, Nicolas Langrené:
Deep Neural Networks Algorithms for Stochastic Control Problems on Finite Horizon: Convergence Analysis. SIAM J. Numer. Anal. 59(1): 525-557 (2021) - [i3]Seyedali Meghdadi, Guido Tack, Ariel Liebman, Nicolas Langrené, Christoph Bergmeir:
Versatile and Robust Transient Stability Assessment via Instance Transfer Learning. CoRR abs/2102.10296 (2021) - 2020
- [i2]Nicolas Langrené, Xavier Warin:
Fast multivariate empirical cumulative distribution function with connection to kernel density estimation. CoRR abs/2005.03246 (2020) - [i1]Wen Chen, Nicolas Langrené:
Deep neural network for optimal retirement consumption in defined contribution pension system. CoRR abs/2007.09911 (2020)
2010 – 2019
- 2014
- [b1]Nicolas Langrené:
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). Paris Diderot University, France, 2014 - [j2]Idris Kharroubi, Nicolas Langrené, Huyên Pham:
A numerical algorithm for fully nonlinear HJB equations: An approach by control randomization. Monte Carlo Methods Appl. 20(2): 145-165 (2014) - [j1]René Aïd, Luciano Campi, Nicolas Langrené, Huyên Pham:
A Probabilistic Numerical Method for Optimal Multiple Switching Problems in High Dimension. SIAM J. Financial Math. 5(1): 191-231 (2014)
Coauthor Index
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