| Disentangling identifiable features from noisy data with structured nonlinear ICA H Hälvä, S Le Corff, L Lehéricy, J So, Y Zhu, E Gassiat, A Hyvarinen Advances in Neural Information Processing Systems 34, 1624-1633, 2021 | 59 | 2021 |
| Sparse Gaussian process variational autoencoders M Ashman, J So, W Tebbutt, V Fortuin, M Pearce, RE Turner arXiv preprint arXiv:2010.10177, 2020 | 31 | 2020 |
| Identifiable Feature Learning for Spatial Data with Nonlinear ICA H Hälvä, J So, RE Turner, A Hyvärinen International Conference on Artificial Intelligence and Statistics, 3331-3339, 2024 | | 2024 |
| Optimising Distributions with Natural Gradient Surrogates J So, RE Turner International Conference on Artificial Intelligence and Statistics, 2224-2232, 2024 | | 2024 |
| EP Structured Variational Autoencoders J So, J Townsend, B Gaujac Advances in Approximate Bayesian Inference (AABI) 2018, 2018 | | 2018 |
Richard E TurnerProfessor, University of CambridgeDirección de correo verificada de cam.ac.uk
