| Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization JP Folch, RM Lee, B Shafei, D Walz, C Tsay, M van der Wilk, R Misener Computers & Chemical Engineering 172, 108194, 2023 | 41 | 2023 |
| SnAKe: Bayesian optimization with pathwise exploration JP Folch, S Zhang, R Lee, B Shafei, D Walz, C Tsay, M van der Wilk, ... Advances in Neural Information Processing Systems 35, 35226-35239, 2022 | 27 | 2022 |
| Transition constrained Bayesian optimization via Markov decision processes JP Folch, C Tsay, R Lee, B Shafei, W Ormaniec, A Krause, M van der Wilk, ... Advances in Neural Information Processing Systems 37, 88194-88235, 2024 | 12 | 2024 |
| Practical Path-based Bayesian Optimization JP Folch, J Odgers, S Zhang, RM Lee, B Shafei, D Walz, C Tsay, ... NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in …, 2023 | 5 | 2023 |
| BARK: A fully Bayesian tree kernel for black-box optimization T Boyne, JP Folch, RM Lee, B Shafei, R Misener arXiv preprint arXiv:2503.05574, 2025 | 4 | 2025 |
| Gaussian Processes for Monitoring Air-Quality in Kampala C Stoddart, L Shrack, R Sserunjogi, U Abdul-Ganiy, E Bainomugisha, ... NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning, 2023 | 2 | 2023 |
| The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning T Boyne, JS Campos, BD Langdon, J Qing, Y Xie, S Zhang, C Tsay, ... arXiv preprint arXiv:2506.07619, 2025 | 1 | 2025 |
| SoDaDE: Solvent Data-Driven Embeddings with Small Transformer Models GK Gibberd, JP Folch, ADR Chanona arXiv preprint arXiv:2509.22302, 2025 | | 2025 |
| Design of Flow Chemistry Experiments Using Batch Bayesian Optimization JP Folch, C Tsay, M van der Wilk, B Shafei, D Walz, A Niederle, R Misener 2021 AIChE Annual Meeting, 2021 | | 2021 |
