James Hensman

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Infinite-Horizon Gaussian Processes

Arno Solin, James Hensman, Richard E. Turner, 2018, NeurIPS.

Fast and accurate approximate inference of transcript expression from RNA-seq data

Antti Honkela, Magnus Rattray, James Hensman, 2014, Bioinform..

Tilted Variational Bayes

Neil D. Lawrence, James Hensman, Max Zwiessele, 2014, AISTATS.

A PROBABILISTIC APPROACH TO ROBOTIC NDE INSPECTION

James Hensman, Keith Worden, Gordon Dobie, 2010 .

Convolutional Gaussian Processes

Carl E. Rasmussen, James Hensman, Mark van der Wilk, 2017, NIPS.

MCMC for Variationally Sparse Gaussian Processes

James Hensman, Zoubin Ghahramani, Maurizio Filippone, 2015, NIPS.

Variational Fourier Features for Gaussian Processes

Arno Solin, James Hensman, Nicolas Durrande, 2016, J. Mach. Learn. Res..

A Gaussian process approach to locate cracks in plate-like structures

James Hensman, Cecilia Surace, Marco Gherlone, 2014 .

Feature Extraction from Spectral Data Using the Bayesian Evidence Framework

James Hensman, R. J. Barthorpe, 2009 .

Fast Approximate Inference of Transcript Expression Levels from RNA-seq Data

Antti Honkela, Magnus Rattray, James Hensman, 2013, 1308.5953.

Towards implementation of reconfigurable robotic strategies for structural health monitoring

James Hensman, Gordon Dobie, Rahul Summan, 2010 .

Large-Scale Cox Process Inference using Variational Fourier Features pdf

James Hensman, S. T. John, J. Hensman, 2018, ICML.

Spatial scanning for anomaly detection in acoustic emission testing of an aerospace structure

James Hensman, Keith Worden, Karen Margaret Holford, 2011 .

Detecting and identifying artificial acoustic emission signals in an industrial fatigue environment

James Hensman, Karen Margaret Holford, Rhys Pullin, 2008 .

Scalable Variational Gaussian Process Classification

James Hensman, Zoubin Ghahramani, Alexander G. de G. Matthews, 2014, AISTATS.

Gaussian Processes for Big Data pdf

Neil D. Lawrence, James Hensman, Nicoló Fusi, 2013, UAI.

Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters

Neil D. Lawrence, Magnus Rattray, James Hensman, 2013, BMC Bioinformatics.

Non-Factorised Variational Inference in Dynamical Systems pdf

Carl E. Rasmussen, James Hensman, Alessandro Davide Ialongo, 2018, ArXiv.

ABC for Climate: Dealing with Expensive Simulators

James Hensman, Philip B. Holden, Neil R. Edwards, 2015, Handbook of Approximate Bayesian Computation.

Pseudo-Extended Markov chain Monte Carlo

Christopher Nemeth, Fredrik Lindsten, James Hensman, 2017, NeurIPS.

Learning Invariances using the Marginal Likelihood

James Hensman, Mark van der Wilk, Matthias Bauer, 2018, NeurIPS.

Practical constraints on real time Bayesian filtering for NDE applications

James Hensman, Gordon Dobie, Rahul Summan, 2014 .

Natural computing for mechanical systems research: A tutorial overview

James Hensman, Keith Worden, Wieslaw J. Staszewski, 2011 .

GPflow: A Gaussian Process Library using TensorFlow

Alexis Boukouvalas, James Hensman, Zoubin Ghahramani, 2016, J. Mach. Learn. Res..

On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes

James Hensman, Richard E. Turner, Zoubin Ghahramani, 2015, AISTATS.

Deep Gaussian Processes with Importance-Weighted Variational Inference

James Hensman, Marc Peter Deisenroth, Hugh Salimbeni, 2019, ICML.

Detecting periodicities with Gaussian processes

Neil D. Lawrence, Magnus Rattray, James Hensman, 2016, PeerJ Comput. Sci..

Locating acoustic emission sources in complex structures using Gaussian processes

James Hensman, Keith Worden, Stephen Pierce, 2008 .

Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction

Suchi Saria, James Hensman, Hossein Soleimani, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models

James Hensman, Stefanos Eleftheriadis, Hugh Salimbeni, 2018, AISTATS.

Positioning challenges in reconfigurable semi-autonomous robotic NDE inspection

James Hensman, Keith Worden, Gordon Dobie, 2010, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

Fast Nonparametric Clustering of Structured Time-Series

Neil D. Lawrence, Magnus Rattray, James Hensman, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Detecting periodicities with Gaussian processes

Neil D. Lawrence, Magnus Rattray, James Hensman, 2016, PeerJ Prepr..

Hybrid Discriminative-Generative Approach with Gaussian Processes

Neil D. Lawrence, James Hensman, Max Zwiessele, 2014, AISTATS.

Identification of hysteretic systems using NARX models, part II : a Bayesian approach

James Hensman, Keith Worden, R. J. Barthorpe, 2012 .

Variational Bayesian non-parametric inference for infectious disease models

James Hensman, Theodore Kypraios, J. Hensman, 2016 .

Gaussian Process Conditional Density Estimation

James Hensman, Marc Deisenroth, Hugh Salimbeni, 2018, NeurIPS.

Doubly Sparse Variational Gaussian Processes pdf

James Hensman, Stefanos Eleftheriadis, Vincent Adam, 2020, AISTATS.

Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era pdf

James Hensman, Lucas Bordeaux, Stefanos Eleftheriadis, 2019, AISTATS.

G aussian Processes for Big Data with Stochastic Variational Inference

Neil D. Lawrence, James Hensman, Neil D. Lawrence, 2012 .

Translation Insensitivity for Deep Convolutional Gaussian Processes

James Hensman, Mark van der Wilk, Artem Artemev, 2019, ArXiv.

Amortized variance reduction for doubly stochastic objective pdf

James Hensman, Sattar Vakili, S. T. John, 2020, UAI.

Gaussian Process Models with Parallelization and GPU acceleration pdf

Neil D. Lawrence, James Hensman, Zhenwen Dai, 2014, ArXiv.

Spike and Slab Gaussian Process Latent Variable Models pdf

Neil D. Lawrence, James Hensman, Zhenwen Dai, 2015, ArXiv.

Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models

Carl E. Rasmussen, James Hensman, Alessandro Davide Ialongo, 2019, ICML.

Fast variational inference for nonparametric clustering of structured time-series pdf

Neil D. Lawrence, Magnus Rattray, James Hensman, 2014, ArXiv.

Chained Gaussian Processes pdf

Aki Vehtari, Neil D. Lawrence, James Hensman, 2016, AISTATS.

Identification of Gaussian Process State Space Models

James Hensman, Marc Peter Deisenroth, Stefanos Eleftheriadis, 2017, NIPS.

Scalable transformed additive signal decomposition by non-conjugate Gaussian process inference

James Hensman, Maneesh Sahani, Vincent Adam, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Fast Variational Inference in the Conjugate Exponential Family

Neil D. Lawrence, Magnus Rattray, James Hensman, 2012, NIPS.

Deep Neural Networks as Point Estimates for Deep Gaussian Processes pdf

James Hensman, Mark van der Wilk, Carl Henrik Ek, 2021, NeurIPS.

GPflux: A Library for Deep Gaussian Processes pdf

James Hensman, Mark van der Wilk, Felix Leibfried, 2021, ArXiv.

Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments

Alexis Boukouvalas, Magnus Rattray, James Hensman, 2021, Bioinform..

Validation of Acoustic Emission (AE) Crack Detection in Aerospace Grade Steel Using Digital Image Correlation

James Hensman, Karen Margaret Holford, Keith Worden, 2010 .

Wavelet Based Feature Extraction for Acoustic Emission

James Hensman, Keith Worden, 2007 .

A Principal Component Analysis of Acoustic Emission Signals from a Landing Gear Component

James Hensman, Karen Margaret Holford, Keith Worden, 2007 .

BGP: identifying gene-specific branching dynamics from single-cell data with a branching Gaussian process

Alexis Boukouvalas, Magnus Rattray, James Hensman, 2018, Genome Biology.

A Framework for Interdomain and Multioutput Gaussian Processes pdf

James Hensman, Mark van der Wilk, Vincent Adam, 2020, ArXiv.

Single and multiple crack localization in beam-like structures using a Gaussian process regression approach

James Hensman, Cecilia Surace, Marco Gherlone, 2018 .

Detecting mode-shape discontinuities without differentiation – examining a Gaussian process approach

James Hensman, Cecilia Surace, Marco Gherlone, 2011 .

Probabilistic Proper Orthogonal Decomposition

James Hensman, Cecilia Surace, Marco Gherlone, 2010 .

The Circadian Clock in Murine Chondrocytes Regulates Genes Controlling Key Aspects of Cartilage Homeostasis

Magnus Rattray, James Hensman, Qing-Jun Meng, 2013, Arthritis and rheumatism.

Acoustic Emission Monitoring Ofa Concrete Hinge Joint Bridge Structure

James Hensman, Karen Margaret Holford, Robert John Lark, 2008 .