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Author

Antoine Grosnit

Observed names: Antoine Frederic Grosnit, Grosnit, Antoine
Observed institutions: École Polytechnique, Huawei Technologies (China), University of Cambridge, Technische Universität Darmstadt, Huawei Technologies (United Kingdom), University College London
ORCID: 0000-0001-8433-1664
Observed ORCID: 0000-0001-8433-1664
OpenAlex ID: A5012157944
HEBO: An Empirical Study of Assumptions in Bayesian Optimisation
2022 · Alexander I. Cowen-Rivers, Wenlong Lyu, et al. · Journal of Artificial Intelligence Research · 160
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High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning
2021 · Grosnit, Antoine, Tutunov, Rasul, et al. · arXiv (Cornell University) · 91
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Toward real-world automated antibody design with combinatorial Bayesian optimization
2023 · Asif Khan, Alexander I. Cowen-Rivers, et al. · Cell Reports Methods · 71
A robot operating system framework for using large language models in embodied AI
2026 · Christopher E. Mower, Yuhui Wan, et al. · Nature Machine Intelligence · 64
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Kolb-Based Experiential Learning for Generalist Agents with Human-Level Kaggle Data Science Performance
2024 · Grosnit, Antoine, Maraval, Alexandre, et al. · arXiv (Cornell University) · 57
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BOiLS: Bayesian Optimisation for Logic Synthesis
2022 · Antoine Grosnit, Cedric Malherbe, et al. · Design, Automation, and Test in Europe · 44
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An Empirical Study of Assumptions in Bayesian Optimisation
2020 · Alexander I. Cowen-Rivers, Wenlong Lyu, et al. · arXiv (Cornell University) · 21
Why Can Large Language Models Generate Correct Chain-of-Thoughts?
2023 · Tutunov, Rasul, Grosnit, Antoine, et al. · arXiv (Cornell University) · 18
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Are we Forgetting about Compositional Optimisers in Bayesian Optimisation?
2020 · Grosnit, Antoine, Cowen-Rivers, Alexander I., et al. · arXiv (Cornell University) · 15
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End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes
2023 · Alexandre Maraval, Matthieu Zimmer, et al. · neural information processing systems · 11
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Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization
2023 · Kamil Dreczkowski, Antoine Grosnit, et al. · neural information processing systems · 8
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Decentralized Deterministic Multi-Agent Reinforcement Learning
2021 · Antoine Grosnit, Desmond Cai, et al. · IEEE Conference on Decision and Control (CDC) · 8
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Lightweight Structural Choices Operator for Technology Mapping
2023 · Antoine Grosnit, Matthieu Zimmer, et al. · ACM/IEEE Design Automation Conference (DAC) · 6
Model-Based and Sample-Efficient AI-Assisted Math Discovery in Sphere Packing
2025 · Tutunov, Rasul, Maraval, Alexandre, et al. · arXiv (Cornell University) · 4
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Contextual Causal Bayesian Optimisation
2023 · Arsenyan, Vahan, Grosnit, Antoine, et al. · arXiv (Cornell University) · 4
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Sample-Efficient Optimisation with Probabilistic Transformer Surrogates
2022 · Maraval, Alexandre, Zimmer, Matthieu, et al. · arXiv (Cornell University) · 4
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Kolb-Based Experiential Learning for Generalist Agents with Human-Level Kaggle Data Science Performance
2025 · Haitham Bou-Ammar, Antoine Grosnit, et al. · Research Square · 2
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Many of Your DPOs are Secretly One: Attempting Unification Through Mutual Information
2025 · Tutnov, Rasul, Grosnit, Antoine, et al. · arXiv (Cornell University) · 2
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Muse Glimmer 30B: An On-Device Agentic Model
2026 · Abtahizadeh, Arash Ebrahim, Aghamelu, Muna, et al. · arXiv (Cornell University) · 1
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ShortCircuit: AlphaZero-Driven Generative Circuit Design
2026 · Dimitrios Tsaras, Antoine Frederic Grosnit, et al. · ACM/IEEE Design Automation Conference (DAC) · 1
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Optimistic Tree Searches for Combinatorial Black-Box Optimization
2022 · Cedric Malherbe, Antoine Grosnit, et al. · neural information processing systems
Works count: 22
Citation count: 593
H-index: 10
I10-index: 10
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