| Gauche: A library for Gaussian processes in chemistry RR Griffiths, L Klarner, H Moss, A Ravuri, S Truong, Y Du, S Stanton, ... Advances in Neural Information Processing Systems 36, 2024 | 25* | 2024 |
| Generalised GPLVM with stochastic variational inference V Lalchand, A Ravuri, ND Lawrence International Conference on Artificial Intelligence and Statistics, 7841-7864, 2022 | 20* | 2022 |
| Modelling technical and biological effects in scRNA-seq data with scalable GPLVMs V Lalchand, A Ravuri, E Dann, N Kumasaka, D Sumanaweera, ... arXiv preprint arXiv:2209.06716, 2022 | 5 | 2022 |
| Predicting ruthenium catalysed hydrogenation of esters using machine learning C Mishra, N von Wolff, A Tripathi, CN Brodie, ND Lawrence, A Ravuri, ... Digital Discovery 2 (3), 819-827, 2023 | 2 | 2023 |
| Uncertainty as a Predictor: Leveraging Self-Supervised Learning for Zero-Shot MOS Prediction A Ravuri, E Cooper, J Yamagishi arXiv preprint arXiv:2312.15616, 2023 | 1 | 2023 |
| Independent Mechanism Analysis in GPLVMs P Reizinger, HB Li, A Ravuri, F Huszár, ND Lawrence Fifth Symposium on Advances in Approximate Bayesian Inference, 2023 | | 2023 |
| Dimensionality Reduction as Probabilistic Inference A Ravuri, F Vargas, V Lalchand, ND Lawrence arXiv preprint arXiv:2304.07658, 2023 | | 2023 |
| Ice Core Dating using Probabilistic Programming A Ravuri, TR Andersson, I Kazlauskaite, W Tebbutt, RE Turner, ... arXiv preprint arXiv:2210.16568, 2022 | | 2022 |
| Scalable Amortized GPLVMs for Single Cell Transcriptomics Data S Zhao, A Ravuri, V Lalchand, ND Lawrence ICLR 2024 Workshop on Machine Learning for Genomics Explorations, 0 | | |
Neil D. LawrenceUniversity of CambridgeVerified email at cl.cam.ac.uk
