| 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 | 56* | 2024 |
| Generalised GPLVM with stochastic variational inference V Lalchand, A Ravuri, ND Lawrence International Conference on Artificial Intelligence and Statistics, 7841-7864, 2022 | 32* | 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 | 11 | 2022 |
| Uncertainty as a predictor: Leveraging self-supervised learning for zero-shot mos prediction A Ravuri, E Cooper, J Yamagishi 2024 IEEE International Conference on Acoustics, Speech, and Signal …, 2024 | 5 | 2024 |
| Dimensionality Reduction as Probabilistic Inference A Ravuri, F Vargas, V Lalchand, ND Lawrence arXiv preprint arXiv:2304.07658, 2023 | 5 | 2023 |
| Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNE A Ravuri, ND Lawrence arXiv preprint arXiv:2405.17412, 2024 | 3 | 2024 |
| 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 | 3 | 2023 |
| The GeometricKernels Package: Heat and Mat\'ern Kernels for Geometric Learning on Manifolds, Meshes, and Graphs P Mostowsky, V Dutordoir, I Azangulov, N Jaquier, MJ Hutchinson, ... arXiv preprint arXiv:2407.08086, 2024 | 1 | 2024 |
| Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models K Donhauser, GE Moran, A Ravuri, K Kenyon-Dean, K Ulicna, ... Interpretable AI: Past, Present and Future, 2024 | | 2024 |
| On Feature Learning for Titi Monkey Activity Detection A Ravuri, J Muir, ND Lawrence arXiv preprint arXiv:2407.01452, 2024 | | 2024 |
| Scalable Amortized GPLVMs for Single Cell Transcriptomics Data S Zhao, A Ravuri, V Lalchand, ND Lawrence arXiv preprint arXiv:2405.03879, 2024 | | 2024 |
| Ice Core Dating using Probabilistic Programming A Ravuri, TR Andersson, I Kazlauskaite, W Tebbutt, RE Turner, ... arXiv preprint arXiv:2210.16568, 2022 | | 2022 |
| A Unifying Probabilistic Perspective on Graph Latent Variable Models A Ravuri, ND Lawrence https://openreview.net/pdf?id=BfM3Eu8icl5, 2022 | | 2022 |
Neil D. LawrenceUniversity of CambridgeVerified email at cl.cam.ac.uk