Publications

• GPflux: A Library for Deep Gaussian Processes (2021)
• Stochastic Differential Equations with Variational Wishart Diffusions (2020)
• Deep Gaussian Processes: Advances in Models and Inference (2019)
• Deep Gaussian Processes with Importance-Weighted Variational Inference (2019)
• Orthogonally Decoupled Variational Gaussian Processes (2018)
• Gaussian Process Conditional Density Estimation (2018)
• Doubly Stochastic Variational Inference for Deep Gaussian Processes (2017)
• Deeply Non-Stationary Gaussian Processes (2017)
• Gaussian Process Multiclass Classification with Dirichlet Priors for Imbalanced Data (2016)
• Patch Kernels for Gaussian Processes in High-Dimensional Imaging Problems (2016)