Variational inference for Gaussian process modulated Poisson processes C Lloyd, T Gunter, M Osborne, S Roberts International Conference on Machine Learning, 1814-1822, 2015 | 134 | 2015 |
Sampling for inference in probabilistic models with fast Bayesian quadrature T Gunter, MA Osborne, R Garnett, P Hennig, SJ Roberts Advances in neural information processing systems 27, 2014 | 116 | 2014 |
Efficient Bayesian nonparametric modelling of structured point processes T Gunter, C Lloyd, MA Osborne, SJ Roberts arXiv preprint arXiv:1407.6949, 2014 | 39 | 2014 |
Blitzkriging: Kronecker-structured stochastic Gaussian processes T Nickson, T Gunter, C Lloyd, MA Osborne, S Roberts arXiv preprint arXiv:1510.07965, 2015 | 24 | 2015 |
Latent point process allocation C Lloyd, T Gunter, M Osborne, S Roberts, T Nickson Artificial Intelligence and Statistics, 389-397, 2016 | 20 | 2016 |
Unknowable manipulators: Social network curator algorithms S Albanie, H Shakespeare, T Gunter arXiv preprint arXiv:1701.04895, 2017 | 12 | 2017 |
Mm1: Methods, analysis & insights from multimodal llm pre-training B McKinzie, Z Gan, JP Fauconnier, S Dodge, B Zhang, P Dufter, D Shah, ... arXiv preprint arXiv:2403.09611, 2024 | 11 | 2024 |
Stair: Learning sparse text and image representation in grounded tokens C Chen, B Zhang, L Cao, J Shen, T Gunter, AM Jose, A Toshev, J Shlens, ... arXiv preprint arXiv:2301.13081, 2023 | 8 | 2023 |
Masked autoencoding does not help natural language supervision at scale F Weers, V Shankar, A Katharopoulos, Y Yang, T Gunter Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts E Daxberger, F Weers, B Zhang, T Gunter, R Pang, M Eichner, ... arXiv preprint arXiv:2309.04354, 2023 | 3 | 2023 |
Self supervision does not help natural language supervision at scale F Weers, V Shankar, A Katharopoulos, Y Yang, T Gunter arXiv preprint arXiv:2301.07836 10, 2023 | 1 | 2023 |
Towards efficient Bayesian inference: Cox processes and probabilistic integration T Gunter University of Oxford, 2017 | | 2017 |