publications

2022

1. 

   Transfer Learning for Neuroimaging via Re-use of Deep Neural Network Features

   Peter Holderrieth, Stephen Smith, and Han Peng

   medRxiv, 2022

2021

1. 

   Equivariant learning of stochastic fields: Gaussian processes and steerable conditional neural processes

   Peter Holderrieth, Michael J Hutchinson, and Yee Whye Teh

   International Conference on Machine Learning, 2021

   Bib

   @article{holderrieth2021equivariant,
     title = {Equivariant learning of stochastic fields: Gaussian processes and steerable conditional neural processes},
     author = {Holderrieth, Peter and Hutchinson, Michael J and Teh, Yee Whye},
     journal = {International Conference on Machine Learning},
     url = {https://proceedings.mlr.press/v139/holderrieth21a.html},
     year = {2021},
     organization = {PMLR},
   }

2020

1. 

   Cores for piecewise-deterministic Markov processes used in Markov chain Monte Carlo

   Peter Holderrieth

   Electronic Communications in Probability, 2020

   Bib

   @article{holderrieth2021cores,
     title = {Cores for piecewise-deterministic Markov processes used in Markov chain Monte Carlo},
     author = {Holderrieth, Peter},
     journal = {Electronic Communications in Probability},
     volume = {26},
     pages = {1--12},
     year = {2020},
     publisher = {The Institute of Mathematical Statistics and the Bernoulli Society},
   }