Michael Hutchinson

Latest

• Metropolis Sampling for Constrained Diffusion Models
• Diffusion Models for Constrained Domains
• Riemannian Score-Based Generative Modelling
• Spectral Diffusion Processes
• Riemannian Diffusion Schrödinger Bridge
• Federeated Functional Variational Inference
• 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
• Age groups that sustain resurging COVID-19 epidemics in the United States
• Machine Learning Summer School 2020
• Technical Document 3: Effectiveness and Resource Requirements of Test, Trace and Isolate Strategies
• State-level tracking of COVID-19 in the United States
• Report 21: Estimating COVID-19 cases and reproduction number in Brazil
• A sub-national analysis of the rate of transmission of Covid-19 in Italy
• Differentially Private Federated Variational Inference
• Differential Privacy, Approximate Bayesian Inference and Distributed Learning