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Tom Ryder
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2020 – today
- 2022
- [c3]Tom Ryder, Chen Zhang, Ning Kang, Shifeng Zhang:
Split Hierarchical Variational Compression. CVPR 2022: 386-395 - [i5]Tom Ryder, Chen Zhang, Ning Kang, Shifeng Zhang:
Split Hierarchical Variational Compression. CoRR abs/2204.02071 (2022) - 2021
- [c2]Shifeng Zhang, Ning Kang, Tom Ryder, Zhenguo Li:
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder. NeurIPS 2021: 5822-5833 - [i4]Shifeng Zhang, Ning Kang, Tom Ryder, Zhenguo Li:
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder. CoRR abs/2111.00965 (2021) - 2020
- [c1]Wil O. C. Ward, Tom Ryder, Dennis Prangle, Mauricio A. Álvarez:
Black-Box Inference for Non-Linear Latent Force Models. AISTATS 2020: 3088-3098
2010 – 2019
- 2019
- [i3]Wil O. C. Ward, Tom Ryder, Dennis Prangle, Mauricio A. Álvarez
:
Variational Bridge Constructs for Grey Box Modelling with Gaussian Processes. CoRR abs/1906.09199 (2019) - [i2]Tom Ryder, Andrew Golightly, Isaac Matthews
Scalable approximate inference for state space models with normalising flows. CoRR abs/1910.00879 (2019) - 2018
- [i1]Tom Ryder, Andrew Golightly, A. Stephen McGough, Dennis Prangle:
Black-Box Autoregressive Density Estimation for State-Space Models. CoRR abs/1811.08337 (2018)
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