Harry Jake Cunningham
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View article: Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling
Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling Open
Global convolutions have shown increasing promise as powerful general-purpose sequence models. However, training long convolutions is challenging, and kernel parameterizations must be able to learn long-range dependencies without overfitti…
View article: RecMoDiffuse: Recurrent Flow Diffusion for Human Motion Generation
RecMoDiffuse: Recurrent Flow Diffusion for Human Motion Generation Open
Human motion generation has paramount importance in computer animation. It is a challenging generative temporal modelling task due to the vast possibilities of human motion, high human sensitivity to motion coherence and the difficulty of …
View article: Actually Sparse Variational Gaussian Processes
Actually Sparse Variational Gaussian Processes Open
Gaussian processes (GPs) are typically criticised for their unfavourable scaling in both computational and memory requirements. For large datasets, sparse GPs reduce these demands by conditioning on a small set of inducing variables design…