Wessel Bruinsma
Wessel Bruinsma
Verified email at cam.ac.uk - Homepage
Title
Cited by
Cited by
Year
Convolutional Conditional Neural Processes
J Gordon, WP Bruinsma, AYK Foong, J Requeima, Y Dubois, RE Turner
arXiv preprint arXiv:1910.13556, 2019
362019
The Gaussian Process Autoregressive Regression Model (GPAR)
J Requeima, W Tebbutt, W Bruinsma, RE Turner
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
182019
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
AYK Foong, WP Bruinsma, J Gordon, Y Dubois, J Requeima, RE Turner
arXiv preprint arXiv:2007.01332, 2020
112020
Scalable Exact Inference in Multi-Output Gaussian Processes
W Bruinsma, E Perim, W Tebbutt, S Hosking, A Solin, R Turner
International Conference on Machine Learning, 1190-1201, 2020
52020
The Gaussian Neural Process
WP Bruinsma, J Requeima, AYK Foong, J Gordon, RE Turner
arXiv preprint arXiv:2101.03606, 2021
32021
Beamforming in Sparse, Random, 3D Array Antennas with Fluctuating Element Locations
MJ Bentum, IE Lager, S Bosma, WP Bruinsma, RP Hes
Antennas and Propagation (EuCAP), 2015 9th European Conference on, 1-5, 2015
32015
Learning Causally-Generated Stationary Time Series
W Bruinsma, RE Turner
arXiv preprint arXiv:1802.08167, 2018
12018
Efficient Gaussian Neural Processes for Regression
S Markou, J Requeima, W Bruinsma, R Turner
arXiv preprint arXiv:2108.09676, 2021
2021
How Tight Can PAC-Bayes be in the Small Data Regime?
AYK Foong, WP Bruinsma, DR Burt, RE Turner
arXiv preprint arXiv:2106.03542, 2021
2021
Tea: Cover’s Guessing Game
W Bruinsma
2021
The Gaussian Process Latent Autoregressive Model
R Xia, W Bruinsma, W Tebbutt, RE Turner
Third Symposium on Advances in Approximate Bayesian Inference, 2020
2020
GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models
P Berkovich, E Perim, W Bruinsma
Symposium on Advances in Approximate Bayesian Inference, 1-14, 2020
2020
Agreeing to Disagree
W Bruinsma
2019
Grating Lobes Prediction in 3D Array Antennas
S Bosma, WP Bruinsma, RP Hes, MJ Bentum, IE Lager
Antennas and Propagation (EUCAP), 2017 11th European Conference on, 3733-3737, 2017
2017
Radiation Properties of Moving Constellations of (Nano) Satellites: A Complexity Study
WP Bruinsma, RP Hes, S Bosma, IE Lager, MJ Bentum
Antennas and Propagation (EuCAP), 2016 10th European Conference on, 1-5, 2016
2016
The Generalised Gaussian Process Convolution Model
WP Bruinsma
University of Cambridge, 2016
2016
An Extensible Toolkit For Real-Time High-Performance Wideband Spectrum Sensing
WP Bruinsma, RP Hes, HJC Kroep, TC Leliveld, WM Melching, ...
2015
Supplementary Material: Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
AYK Foong, WP Bruinsma, J Gordon, Y Dubois, J Requeima, RE Turner
Composing Neural Processes with Flux
WP Bruinsma, J Gordon, RE Turner
Gaussian Process Probabilistic Programming with Stheno.jl
W Tebbutt, W Bruinsma, RE Turner
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Articles 1–20