3 citations · 5 across the 4 of their papers we have counts for
5 papers
Variational Autoencoding of PDE Inverse Problems
Daniel J. Tait, Theodoros Damoulas
Specifying a governing physical model in the presence of missing physics and recovering its parameters are two intertwined and fundamental problems in science. Modern machine learn…
Deep Orthogonal Decompositions for Convective Nowcasting
Daniel J. Tait
Near-term prediction of the structured spatio-temporal processes driving our climate is of profound importance to the safety and well-being of millions, but the prounced nonlinear…
Direction of Arrival Estimation for a Vector Sensor Using Deep Neural Networks
Jianyuan Yu, William W. Howard, Daniel Tait +1
A vector sensor, a type of sensor array with six collocated antennas to measure all electromagnetic field components of incident waves, has been shown to be advantageous in estimat…
Approximate Inference for Multiplicative Latent Force Models
Daniel J. Tait, Bruce J. Worton
Latent force models are a class of hybrid models for dynamic systems, combining simple mechanistic models with flexible Gaussian process (GP) perturbations. An extension of this fr…
Multiplicative Latent Force Models
Daniel J. Tait, Bruce J. Worton
Bayesian modelling of dynamic systems must achieve a compromise between providing a complete mechanistic specification of the process while retaining the flexibility to handle thos…