Author Info
Name
Affiliation
Papers
VAN DER WILK, MARK
Univ Cambridge, Cambridge, England
23
Collaborators
Citations 
PageRank 
54
65
9.35
Referers 
Referees 
References 
208
196
71
Search Limit
100208
Title
Citations
PageRank
Year
Last Layer Marginal Likelihood for Invariance Learning00.342022
Data augmentation in Bayesian neural networks and the cold posterior effect.00.342022
Bayesian Neural Network Priors Revisited00.342022
Correlated weights in infinite limits of deep convolutional neural networks.00.342021
: A library for Bayesian neural network inference with different prior distributions.00.342021
The promises and pitfalls of deep kernel learning.00.342021
Tighter Bounds On The Log Marginal Likelihood Of Gaussian Process Regression Using Conjugate Gradients00.342021
Speedy Performance Estimation for Neural Architecture Search.00.342021
A Bayesian Perspective On Training Speed And Model Selection00.342020
Convergence of Sparse Variational Inference in Gaussian Processes Regression00.342020
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty00.342020
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes.00.342019
Variational Gaussian Process Models without Matrix Inverses.00.342019
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models00.342019
Rates of Convergence for Sparse Variational Gaussian Process Regression.00.342019
Bayesian Layers: A Module for Neural Network Uncertainty20.352019
Learning Invariances using the Marginal Likelihood.10.362018
Closed-form Inference and Prediction in Gaussian Process State-Space Models.00.342018
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning.80.542017
GPflow: a Gaussian process library using tensorflow150.662017
Convolutional Gaussian Processes.00.342017
Understanding Probabilistic Sparse Gaussian Process Approximations.00.342016
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.391.362014