Wessel Bruinsma
University of Cambridge
H-index: 10
Europe-United Kingdom
Top articles of Wessel Bruinsma
Aardvark Weather: end-to-end data-driven weather forecasting
arXiv preprint arXiv:2404.00411
2024/3/30
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
arXiv preprint arXiv:2310.04610
2023/10/6
Shiyang Chen
H-Index: 5
Masahiro Tanaka
H-Index: 10
Connor Holmes
H-Index: 2
Zhongzhu Zhou
H-Index: 0
Max Welling
H-Index: 62
Wessel Bruinsma
H-Index: 3
Chan Cao
H-Index: 17
Liang He
H-Index: 28
Chang Liu
H-Index: 7
Qi Meng
H-Index: 1
Tao Qin
H-Index: 1
Bin Shao
H-Index: 2
Yu Shi
H-Index: 17
Yue Wang
H-Index: 29
Tong Wang
H-Index: 10
Zun Wang
H-Index: 1
Lijun Wu
H-Index: 14
Divya Kumar
H-Index: 2
Ruixiong Zhang
H-Index: 10
Sylwester Klocek
H-Index: 1
Bin Zhang
H-Index: 2
Austin Clyde
H-Index: 3
Bharat Kale
H-Index: 2
Valerie Hayot
H-Index: 4
Zhen Xie
H-Index: 3
James J Davis
H-Index: 3
Heidi Hanson
H-Index: 2
Kate Evans
H-Index: 6
Dan Lu
H-Index: 10
Xiao Wang
H-Index: 4
Pei Zhang
H-Index: 5
Ming Fan
H-Index: 6
Siyan Liu
H-Index: 1
Alexey Svyatkovskiy
H-Index: 138
Hang Liu
H-Index: 5
Michael Schulte
H-Index: 10
Yuntian Deng
H-Index: 14
Christian Dallago
H-Index: 5
Chaowei Xiao
H-Index: 17
Anima Anandkumar
H-Index: 40
Rick Stevens
H-Index: 36
Convolutional Conditional Neural Processes
2023/8/15
Wessel Bruinsma
H-Index: 3
Autoregressive Conditional Neural Processes
International Conference on Learning Representations (ICLR), 11th
2023/3/25
Environmental sensor placement with convolutional Gaussian neural processes
Environmental Data Science
2023/1
Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement
Environmental Data Science (Climate Informatics 2023 Special Issue)
2023
Practical Conditional Neural Process Via Tractable Dependent Predictions
2022
Wide Mean-Field Bayesian Neural Networks Ignore the Data
Artificial Intelligence and Statistics (AISTATS), 25th International Conference on
2022
Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
NeurIPS 2022
2022/11/4
Improving Generalisation in Multi-Output Gaussian Processes for Time Series Prediction
2022/9/19
Wessel Bruinsma
H-Index: 3
Yuting Wu
H-Index: 3
Challenges and Pitfalls of Bayesian Unlearning
arXiv preprint arXiv:2207.03227
2022/7/7
Wessel Bruinsma
H-Index: 3
Richard Turner
H-Index: 14
A Note on the Chernoff Bound for Random Variables in the Unit Interval
arXiv preprint arXiv:2205.07880
2022/5/15
Efficient Gaussian Neural Processes for Regression
2021
Wessel Bruinsma
H-Index: 3
Richard Turner
H-Index: 14
How Tight Can PAC-Bayes be in the Small Data Regime?
Advances in Neural Information Processing Systems
2021/12/6
Wessel Bruinsma
H-Index: 3
Richard Turner
H-Index: 14
The Gaussian Process Latent Autoregressive Model
2020
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
2020
Scalable Exact Inference in Multi-Output Gaussian Processes
2020
GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models
2020/2/3
Pavel Berkovich
H-Index: 0
Wessel Bruinsma
H-Index: 3
Co-Authors
