Mark van der Wilk

GPflow: A Gaussian process library using TensorFlow

Alexander Matthews, Mark van der Wilk, Tom Nickson et al. · arXiv (Cornell University) · 2016 · 307 citations · Full text

Computing, Computer Engineering, Computer Science +17

Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning

Rowan McAllister, Yarin Gal, Alex Kendall et al. · 2017 · 222 citations · Full text

Computing, Autonomous Systems, Computer Science +16

Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning

Yarin Gal, Alex Kendall, Mark van der Wilk et al. · Oxford University Research Archive (ORA) (University of Oxford) · 2017 · 148 citations · Full text

Computing, Autonomous Systems, Computer Science +16

Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty

Miguel Monteiro, Loïc Le Folgoc, Daniel C. Castro et al. · arXiv (Cornell University) · 2020 · 79 citations · Full text

Computing, Computer Science, Radiology +17

Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models

Yarin Gal, Mark van der Wilk, Carl Edward Rasmussen · arXiv (Cornell University) · 2014 · 72 citations · Full text

Computing, Computer Science, Big Data Analytics +16