James Hensman

Identifiers

• name variant James Hensman 0.60 · backfill

Papers (30)

1. Revisiting Transformer Layer Parameterization Through Causal Energy Minimization cs.LG · 2026 · author #5
2. Scalable Model-Based Clustering with Sequential Monte Carlo stat.ML · 2026 · author #4
3. Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models stat.ML · 2019 · author #3
4. Deep Gaussian Processes with Importance-Weighted Variational Inference stat.ML · 2019 · author #3
5. Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era stat.ML · 2019 · author #5
6. Non-Factorised Variational Inference in Dynamical Systems stat.ML · 2018 · author #3
7. Infinite-Horizon Gaussian Processes cs.LG · 2018 · author #2
8. Gaussian Process Conditional Density Estimation stat.ML · 2018 · author #4
9. Learning Invariances using the Marginal Likelihood cs.LG · 2018 · author #4
10. Large-Scale Cox Process Inference using Variational Fourier Features stat.ML · 2018 · author #2
11. Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models stat.ML · 2018 · author #3
12. Convolutional Gaussian Processes stat.ML · 2017 · author #3
13. Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction stat.ML · 2017 · author #2
14. Identification of Gaussian Process State Space Models stat.ML · 2017 · author #4
15. Variational Fourier features for Gaussian processes stat.ML · 2016 · author #1
16. GPflow: A Gaussian process library using TensorFlow stat.ML · 2016 · author #8
17. Chained Gaussian Processes stat.ML · 2016 · author #2
18. ABC for climate: dealing with expensive simulators stat.CO · 2015 · author #3
19. MCMC for Variationally Sparse Gaussian Processes stat.ML · 2015 · author #1
20. Spike and Slab Gaussian Process Latent Variable Models stat.ML · 2015 · author #2
21. On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes stat.ML · 2015 · author #2
22. Fast and accurate approximate inference of transcript expression from RNA-seq data q-bio.QM · 2014 · author #1
23. Nested Variational Compression in Deep Gaussian Processes stat.ML · 2014 · author #1
24. Scalable Variational Gaussian Process Classification stat.ML · 2014 · author #1
25. Gaussian Process Models with Parallelization and GPU acceleration cs.DC · 2014 · author #3
26. Fast nonparametric clustering of structured time-series cs.LG · 2014 · author #1
27. Gaussian Processes for Big Data cs.LG · 2013 · author #1
28. Fast Approximate Inference of Transcript Expression Levels from RNA-seq Data q-bio.GN · 2013 · author #1
29. Gaussian process models for periodicity detection math.ST · 2013 · author #3
30. Fast Variational Inference in the Conjugate Exponential Family cs.LG · 2012 · author #1

Mentions

• 1401.1605 #1 · backfill · confidence 0.70 James Hensman
• 1309.6835 #1 · backfill · confidence 0.70 James Hensman
• 1308.5953 #1 · backfill · confidence 0.70 James Hensman
• 1303.7090 #3 · backfill · confidence 0.70 James Hensman
• 1206.5162 #1 · backfill · confidence 0.70 James Hensman

Frequent Coauthors

• Neil D. Lawrence 6 shared papers
• Magnus Rattray 5 shared papers
• Mark van der Wilk 5 shared papers
• Zoubin Ghahramani 4 shared papers
• Alexander G. de G. Matthews 3 shared papers
• Carl Edward Rasmussen 3 shared papers
• Hugh Salimbeni 3 shared papers
• Stefanos Eleftheriadis 3 shared papers
• Alessandro Davide Ialongo 2 shared papers
• Antti Honkela 2 shared papers
• Arno Solin 2 shared papers
• Marc Peter Deisenroth 2 shared papers
• Neil Lawrence 2 shared papers
• Nicolas Durrande 2 shared papers
• Peter Glaus 2 shared papers
• Richard E. Turner 2 shared papers
• Vincent Dutordoir 2 shared papers
• Zhenwen Dai 2 shared papers
• Aki Vehtari 1 shared papers
• Alan D. Saul 1 shared papers