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Latest

• Geometric Neural Diffusion Processes
• Riemannian Score-Based Generative Modelling
• Riemannian Diffusion Schrödinger Bridge
• Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Equivariant Projected Kernels
• Efficient Bayesian Inference of Instantaneous Re-production Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid-19 Epidemic in British Local Authorities
• LieTransformer: Equivariant self-attention for Lie Groups
• Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes
• Technical Document 3: Effectiveness and Resource Requirements of Test, Trace and Isolate Strategies