Tom Ryder
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Black-box variational inference for stochastic differential equations
T Ryder, A Golightly, AS McGough, D Prangle
International Conference on Machine Learning, 4423-4432, 2018
iflow: Numerically invertible flows for efficient lossless compression via a uniform coder
S Zhang, N Kang, T Ryder, Z Li
Advances in Neural Information Processing Systems 34, 5822-5833, 2021
Black-box inference for non-linear latent force models
W Ward, T Ryder, D Prangle, M Alvarez
International Conference on Artificial Intelligence and Statistics, 3088-3098, 2020
The Neural Moving Average Model for Scalable Variational Inference of State Space Models
T Ryder, D Prangle, A Golightly, I Matthews
37th Conference on Uncertainty in Artificial Intelligence (UAI 2021), 2021
Black-box autoregressive density estimation for state-space models
T Ryder, A Golighty, AS McGough, D Prangle
NeurIPS Workshop on Bayesian Deep Learning, 2018
Split Hierarchical Variational Compression
T Ryder, C Zhang, N Kang, S Zhang
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
A framework for variational inference and data assimilation of soil biogeochemical models using state space approximations and normalizing flows
HW Xie, D Sujono, T Ryder, EB Sudderth, S Allison
Authorea Preprints, 2022
Variational inference for stochastic processes
T Ryder
Newcastle University, 2021
Image encoding and decoding, video encoding and decoding: methods, systems and training methods
C Besenbruch, A Cherganski, C Finlay, A Lytchier, J Rayner, T Ryder, ...
US Patent 11,606,560, 2023
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