Alexandre Maraval

According to our database, Alexandre Maraval authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial.

Zhongwei Yu, Rasul Tutunov, Alexandre Max Maraval, Zikai Xie, Zhenzhi Tan, Jiankang Wang, Bin Cao, Zijing Li, Liangliang Xu, Qi Yang, Jun Jiang, Sanzhong Luo, Zhenxiao Guo, Tongyi Zhang, Haitham Bou-Ammar, Jun Wang

CoRR, April, 2026

2025

Model-Based and Sample-Efficient AI-Assisted Math Discovery in Sphere Packing.

Rasul Tutunov, Alexandre Maraval, Antoine Grosnit, Xihan Li, Jun Wang, Haitham Bou-Ammar

CoRR, December, 2025

2024

Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level.

Antoine Grosnit, Alexandre Maraval, James Doran, Giuseppe Paolo, Albert Thomas, Refinath Shahul Hameed Nabeezath Beevi, Jonas Gonzalez, Khyati Khandelwal, Ignacio Iacobacci, Abdelhakim Benechehab, Hamza Cherkaoui, Youssef Attia El Hili, Kun Shao, Jianye Hao, Jun Yao, Balázs Kégl, Haitham Bou-Ammar, Jun Wang

CoRR, 2024

2023

End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes.

Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Haitham Bou-Ammar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

HEBO: An Empirical Study of Assumptions in Bayesian Optimisation.

Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan-Rhys Griffiths, Alexandre Max Maraval, Jianye Hao, Jun Wang, Jan Peters, Haitham Bou-Ammar

J. Artif. Intell. Res., 2022

Sample-Efficient Optimisation with Probabilistic Transformer Surrogates.

Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Rasul Tutunov, Jun Wang, Haitham Bou-Ammar

CoRR, 2022

2021

High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning.

Antoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, Ryan-Rhys Griffiths, Alexander I. Cowen-Rivers, Lin Yang, Lin Zhu, Wenlong Lyu, Zhitang Chen, Jun Wang, Jan Peters, Haitham Bou-Ammar

CoRR, 2021

Efficient Semi-Implicit Variational Inference.

Vincent Moens, Hang Ren, Alexandre Maraval, Rasul Tutunov, Jun Wang, Haitham Ammar

CoRR, 2021