The Antarctic ice sheet (AIS) will be a dominant contributor to global mean sea level rise in
the 21st century but remains a major source of uncertainty. The Ice Sheet Model …

Gaussian Processes (GPs) are expressive models for capturing signal statistics and
expressing prediction uncer-tainty. As a result, the robotics community has gathered interest …

In this article, we introduce parallel-in-time methods for state and parameter estimation in
general nonlinear non-Gaussian state-space models using the statistical linear regression …

We present the class of Hida-Mat\'ern kernels, which is the canonical family of covariance
functions over the entire space of stationary Gauss-Markov Processes. It extends upon …

The combination of rapid advances in neural recording technologies and machine learning
heralds a golden era for computational neuroscience. Whilst the dynamical systems point of …