Antoine Grosnit
Antoine Grosnit
Otros nombresAntoine Frederic Grosnit
Research Scientist, Noah's Ark lab, London
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Hebo: Pushing the limits of sample-efficient hyper-parameter optimisation
AI Cowen-Rivers, W Lyu, R Tutunov, Z Wang, A Grosnit, RR Griffiths, ...
Journal of Artificial Intelligence Research 74, 1269-1349, 2022
High-dimensional Bayesian optimisation with variational autoencoders and deep metric learning
A Grosnit, R Tutunov, AM Maraval, RR Griffiths, AI Cowen-Rivers, L Yang, ...
arXiv preprint arXiv:2106.03609, 2021
Toward real-world automated antibody design with combinatorial Bayesian optimization
A Khan, AI Cowen-Rivers, A Grosnit, PA Robert, V Greiff, E Smorodina, ...
Cell Reports Methods 3 (1), 2023
Boils: Bayesian optimisation for logic synthesis
A Grosnit, C Malherbe, R Tutunov, X Wan, J Wang, HB Ammar
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2022
Are we forgetting about compositional optimisers in Bayesian optimisation?
A Grosnit, AI Cowen-Rivers, R Tutunov, RR Griffiths, J Wang, ...
Journal of Machine Learning Research 22 (160), 1-78, 2021
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes
A Maraval, M Zimmer, A Grosnit, HB Ammar
Advances in Neural Information Processing Systems, 2023
Decentralized Deterministic Multi-Agent Reinforcement Learning
A Grosnit, D Cai, L Wynter
2021 60th IEEE Conference on Decision and Control (CDC), 2021
Why Can Large Language Models Generate Correct Chain-of-Thoughts?
R Tutunov, A Grosnit, J Ziomek, J Wang, H Bou-Ammar
arXiv preprint arXiv:2310.13571, 2023
Contextual causal Bayesian optimisation
V Arsenyan, A Grosnit, H Bou-Ammar
arXiv preprint arXiv:2301.12412, 2023
Optimistic Tree Searches for Combinatorial Black-Box Optimization
C Malherbe, A Grosnit, R Tutunov, HB Ammar, J Wang
Advances in Neural Information Processing Systems, 2022
Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization
K Dreczkowski, A Grosnit, HB Ammar
Advances in Neural Information Processing Systems, 2023
Sample-efficient optimisation with probabilistic transformer surrogates
A Maraval, M Zimmer, A Grosnit, R Tutunov, J Wang, HB Ammar
arXiv preprint arXiv:2205.13902, 2022
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning
CE Mower, Y Wan, H Yu, A Grosnit, J Gonzalez-Billandon, M Zimmer, ...
arXiv preprint arXiv:2406.19741, 2024
Lightweight Structural Choices Operator for Technology Mapping
A Grosnit, M Zimmer, R Tutunov, X Li, L Chen, F Yang, M Yuan, ...
2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023
Optimal Control Synthesis from Natural Language: Opportunities and Challenges
CE Mower, H Yu, A Grosnit, J Peters, J Wang, H Bou-Ammar
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