| 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 | 180* | 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 | 61 | 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 | 55* | 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 | 41* | 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 | 17 | 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 | 13 | 2023 |
| 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 | 12 | 2023 |
| Decentralized Deterministic Multi-Agent Reinforcement Learning A Grosnit, D Cai, L Wynter 2021 60th IEEE Conference on Decision and Control (CDC), 2021 | 7 | 2021 |
| 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 | 5 | 2024 |
| Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization K Dreczkowski, A Grosnit, HB Ammar Advances in Neural Information Processing Systems, 2023 | 3 | 2023 |
| Contextual causal Bayesian optimisation V Arsenyan, A Grosnit, H Bou-Ammar arXiv preprint arXiv:2301.12412, 2023 | 3 | 2023 |
| 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 | 2 | 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 | 2 | 2022 |
| 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 | 1 | 2022 |
| Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level A Grosnit, A Maraval, J Doran, G Paolo, A Thomas, RSHN Beevi, ... arXiv preprint arXiv:2411.03562, 2024 | | 2024 |
| ShortCircuit: AlphaZero-Driven Circuit Design D Tsaras, A Grosnit, L Chen, Z Xie, H Bou-Ammar, M Yuan arXiv preprint arXiv:2408.09858, 2024 | | 2024 |
| Optimal Control Synthesis from Natural Language: Opportunities and Challenges CE Mower, H Yu, A Grosnit, J Peters, J Wang, H Bou-Ammar | | |
Haitham Bou-AmmarRL-Team Leader, BO-Team Leader, MAS-Team Leader @ Huawei London & H. Assistant Professor @ UCLEmail verificata su huawei.com
