Author Info
Name
Affiliation
Papers
JAMES HENSMAN
Univ Sheffield, Dept Comp Sci, Sheffield, S Yorkshire, England
35
Collaborators
Citations 
PageRank 
60
265
20.05
Referers 
Referees 
References 
553
405
291
Search Limit
100553
Title
Citations
PageRank
Year
Deep Neural Networks as Point Estimates for Deep Gaussian Processes.00.342021
Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments10.412021
Doubly Sparse Variational Gaussian Processes.00.342020
Amortized variance reduction for doubly stochastic objectives00.342020
Sparse Gaussian Processes with Spherical Harmonic Features00.342020
Variational Gaussian Process Models without Matrix Inverses.00.342019
Deep Gaussian Processes with Importance-Weighted Variational Inference.00.342019
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models00.342019
Translation Insensitivity for Deep Convolutional Gaussian Processes.10.342019
Large-Scale Cox Process Inference using Variational Fourier Features.10.352018
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction.30.402018
Non-Factorised Variational Inference in Dynamical Systems.00.342018
Infinite-Horizon Gaussian Processes.00.342018
Learning Invariances using the Marginal Likelihood.10.362018
Gaussian Process Conditional Density Estimation.00.342018
GPflow: a Gaussian process library using tensorflow150.662017
Variational Fourier Features for Gaussian Processes.110.632017
Identification of Gaussian Process State Space Models.30.382017
Convolutional Gaussian Processes.00.342017
Scalable transformed additive signal decomposition by non-conjugate Gaussian process inference50.532016
Chained Gaussian Processes.70.592016
On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes210.972016
Detecting periodicities with Gaussian processes.10.352016
Fast Nonparametric Clustering of Structured Time-Series10.352015
Scalable Variational Gaussian Process Classification.10.352015
Spike and Slab Gaussian Process Latent Variable Models10.352015
Fast and accurate approximate inference of transcript expression from RNA-seq data40.462015
MCMC for Variationally Sparse Gaussian Processes120.692015
Hybrid Discriminative-Generative Approach with Gaussian Processes.10.362014
Gaussian Process Models with Parallelization and GPU acceleration.80.512014
Fast variational inference for nonparametric clustering of structured time-series.00.342014
Tilted Variational Bayes.10.352014
Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters.170.732013
Gaussian Processes for Big Data.1425.132013
Fast Variational Inference in the Conjugate Exponential Family70.742012