Antoine Grosnit

23 papers A* 4A 1Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Many of Your DPOs are Secretly One: Attempting Unification Through Mutual Information. CoRR Rasul Tutunov, Antoine Grosnit, Haitham Bou-Ammar
2025	J	`jnl`	Model-Based and Sample-Efficient AI-Assisted Math Discovery in Sphere Packing. CoRR Rasul Tutunov, Alexandre Maraval, Antoine Grosnit, Xihan Li, Jun Wang, Haitham Bou-Ammar
2024	J	`jnl`	Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level. CoRR 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
2024	J	`jnl`	ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. CoRR Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar
2024	J	`jnl`	ShortCircuit: AlphaZero-Driven Circuit Design. CoRR Dimitrios Tsaras, Antoine Grosnit, Lei Chen, Zhiyao Xie, Haitham Bou-Ammar, Mingxuan Yuan
2023	J	`jnl`	Contextual Causal Bayesian Optimisation. CoRR Vahan Arsenyan, Antoine Grosnit, Haitham Bou-Ammar
2023	A*	`conf`	End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes. NeurIPS Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Haitham Bou-Ammar
2023	J	`jnl`	End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes. CoRR Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Haitham Bou-Ammar
2023	A*	`conf`	Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization. NeurIPS Kamil Dreczkowski, Antoine Grosnit, Haitham Bou-Ammar
2023	J	`jnl`	Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization. CoRR Kamil Dreczkowski, Antoine Grosnit, Haitham Bou-Ammar
2023	A*	`conf`	Lightweight Structural Choices Operator for Technology Mapping. DAC Antoine Grosnit, Matthieu Zimmer, Rasul Tutunov, Xing Li, Lei Chen, Fan Yang, Mingxuan Yuan, Haitham Bou-Ammar
2023	J	`jnl`	Why Can Large Language Models Generate Correct Chain-of-Thoughts? CoRR Rasul Tutunov, Antoine Grosnit, Juliusz Ziomek, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation. CoRR Mohammad Asif Khan, Alexander I. Cowen-Rivers, Derrick-Goh-Xin Deik, Antoine Grosnit, Kamil Dreczkowski, Philippe A. Robert, Victor Greiff, Rasul Tutunov, Dany Bou-Ammar, Jun Wang, Haitham Bou-Ammar
2022	A	`conf`	BOiLS: Bayesian Optimisation for Logic Synthesis. DATE Antoine Grosnit, Cédric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar
2022	J	`jnl`	HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. J. Artif. Intell. Res. 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
2022	A*	`conf`	Optimistic Tree Searches for Combinatorial Black-Box Optimization. NeurIPS Cédric Malherbe, Antoine Grosnit, Rasul Tutunov, Haitham Bou-Ammar, Jun Wang
2022	J	`jnl`	Sample-Efficient Optimisation with Probabilistic Transformer Surrogates. CoRR Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Rasul Tutunov, Jun Wang, Haitham Bou-Ammar
2021	J	`jnl`	Are We Forgetting about Compositional Optimisers in Bayesian Optimisation? J. Mach. Learn. Res. Antoine Grosnit, Alexander I. Cowen-Rivers, Rasul Tutunov, Ryan-Rhys Griffiths, Jun Wang, Haitham Bou-Ammar
2021	J	`jnl`	BOiLS: Bayesian Optimisation for Logic Synthesis. CoRR Antoine Grosnit, Cédric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar
2021	—	`conf`	Decentralized Deterministic Multi-Agent Reinforcement Learning. CDC Antoine Grosnit, Desmond Cai, Laura Wynter
2021	J	`jnl`	Decentralized Deterministic Multi-Agent Reinforcement Learning. CoRR Antoine Grosnit, Desmond Cai, Laura Wynter
2021	J	`jnl`	High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning. CoRR 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
2020	J	`jnl`	Are we Forgetting about Compositional Optimisers in Bayesian Optimisation? CoRR Antoine Grosnit, Alexander I. Cowen-Rivers, Rasul Tutunov, Ryan-Rhys Griffiths, Jun Wang, Haitham Bou-Ammar