| Utilizing graph machine learning within drug discovery and development T Gaudelet, B Day, AR Jamasb, J Soman, C Regep, G Liu, JBR Hayter, ... Briefings in bioinformatics 22 (6), bbab159, 2021 | 265 | 2021 |
| On Second Order Behaviour in Augmented Neural ODEs A Norcliffe, C Bodnar, B Day, N Simidjievski, P Liò Advances in Neural Information Processing Systems 33, 5911--5921, 2020 | 89 | 2020 |
| Neural ode processes A Norcliffe, C Bodnar, B Day, J Moss, P Liò arXiv preprint arXiv:2103.12413, 2021 | 67 | 2021 |
| Proximal distilled evolutionary reinforcement learning C Bodnar, B Day, P Lió Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3283-3290, 2020 | 65 | 2020 |
| Clique pooling for graph classification E Luzhnica, B Day, P Lio arXiv preprint arXiv:1904.00374, 2019 | 37 | 2019 |
| Factorised neural relational inference for multi-interaction systems E Webb, B Day, H Andres-Terre, P Lió arXiv preprint arXiv:1905.08721, 2019 | 28 | 2019 |
| Structure-aware generation of drug-like molecules P Drotár, AR Jamasb, B Day, C Cangea, P Liò arXiv preprint arXiv:2111.04107, 2021 | 25 | 2021 |
| On graph classification networks, datasets and baselines E Luzhnica, B Day, P Liò arXiv preprint arXiv:1905.04682, 2019 | 23 | 2019 |
| Deep learning for protein–protein interaction site prediction AR Jamasb, B Day, C Cangea, P Liò, TL Blundell Proteomics data analysis, 263-288, 2021 | 19 | 2021 |
| On second order behaviour in augmented neural ODEs: A short summary ALI Norcliffe, C Bodnar, B Day, N Simidjievski, P Lio The Symbiosis of Deep Learning and Differential Equations, 2021 | 5 | 2021 |
| Message passing neural processes B Day, C Cangea, AR Jamasb, P Liò arXiv preprint arXiv:2009.13895, 2020 | 5 | 2020 |
| Factorised neural relational inference for multi-interaction systems. arXiv preprints E Webb, B Day, H Andres-Terre, P Lió arXiv preprint arXiv:1905.08721, 2019 | 5 | 2019 |
| Message passing neural processes C Cangea, B Day, AR Jamasb, P Lio ICLR 2022 Workshop on Geometrical and Topological Representation Learning, 2022 | 4 | 2022 |
| Meta-learning using privileged information for dynamics B Day, A Norcliffe, J Moss, P Liò arXiv preprint arXiv:2104.14290, 2021 | 4 | 2021 |
| Fdl: Mission support challenge LF Simões, B Day, VM Shreenath, C Wilson, C Bridges, S Kaczmarek, ... arXiv preprint arXiv:1912.09279, 2019 | 2 | 2019 |
| Attentional Meta-learners for Few-shot Polythetic Classification BJ Day, RV Torné, N Simidjievski, P Lio International Conference on Machine Learning, 4867-4889, 2022 | 1 | 2022 |
| Learning from History: Scoring & Automating Spacecraft Constellation Schedules LF Simões, B Day, VM Shreenath, C Wilson, CP Bridges, S Kaczmarek, ... SpaceOps 2021, 2021 | 1 | 2021 |
| Neural ODE Processes: A Short Summary ALI Norcliffe, C Bodnar, B Day, J Moss, P Lio The Symbiosis of Deep Learning and Differential Equations, 2021 | 1 | 2021 |
| The Role of Isomorphism Classes in Multi-Relational Datasets V Wichitwechkarn, B Day, C Bodnar, M Wales, P Liò arXiv preprint arXiv:2009.14593, 2020 | 1 | 2020 |
| Uncertainty in Neural Relational Inference Trajectory Reconstruction V Karavias, B Day, P Liò arXiv preprint arXiv:2006.13666, 2020 | 1 | 2020 |
Arian JamasbSenior ML Scientist, Prescient Design在 roche.com 的电子邮件经过验证
