| A unified bellman optimality principle combining reward maximization and empowerment F Leibfried, S Pascual-Diaz, J Grau-Moya Advances in Neural Information Processing Systems 32, 2019 | 54 | 2019 |
| Trieste: Efficiently exploring the depths of black-box functions with tensorflow V Picheny, J Berkeley, HB Moss, H Stojic, U Granta, SW Ober, A Artemev, ... arXiv preprint arXiv:2302.08436, 2023 | 32 | 2023 |
| Disentangled skill embeddings for reinforcement learning JC Petangoda, S Pascual-Diaz, V Adam, P Vrancx, J Grau-Moya arXiv preprint arXiv:1906.09223, 2019 | 22 | 2019 |
| Trieste J Berkeley, HB Moss, A Artemev, S Pascual-Diaz, U Granta, H Stojic, ... feb2025.[Online]. Available: https://github. com/secondmind-labs/trieste, 2022 | 6 | 2022 |
| Uri Granta, Hrvoje Stojic, Ivo Couckuyt, Jixiang Qing, Nasrulloh Loka, Andrei Paleyes, Sebastian W. Ober, and Victor Picheny. Trieste J Berkeley, HB Moss, A Artemev, S Pascual-Diaz | 6 | 2022 |
| Scalable Drug Property Prediction via Automated Machine Learning X Li, S Pascual-Diaz, C Hand, R Garland, W Abbas, FM Khan, NM Das, ... | 2 | 2025 |
| Multiclass Synthetic Accessibility Prediction X Li, R Walsh, W Abbas, S Pascual-Diaz, C Hand, R Garland, FM Khan, ... Journal of Chemical Information and Modeling 65 (3), 1155-1165, 2025 | 2 | 2025 |
| Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow H Moss, V Picheny, H Stojic, SW Ober, A Artemev, A Paleyes, S Vakili, ... NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 0 | | |