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Daniel J. Tait

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author2
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • eess.SP1
  • physics.comp-ph1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedVariational Autoencoding of PDE Inverse Problems

3 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2020★ 3 cited

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…

physics.comp-ph2020★ 1 cited

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…

eess.SP2020★ 1 cited

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…

stat.ML2018

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…

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