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 · 305 citations · Full text

Gpu Architecture, Engineering, Machine Learning +15

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

Rowan McAllister, Yarin Gal, Alex Kendall et al. · 2017 · 213 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +22

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

Yarin Gal, Alex Kendall, Mark van der Wilk et al. · Apollo (University of Cambridge) · 2017 · 147 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +22

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

Stochastic Segmentation Networks, Geometric Learning, Convolutional Neural Network +20

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

Engineering, Machine Learning, Sparse Gp Regression +18