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Andrew Y. K. Foong
Andrew Y. K. Foong
Senior Researcher, Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Convolutional Conditional Neural Processes
J Gordon, WP Bruinsma, AYK Foong, J Requeima, Y Dubois, RE Turner
International Conference on Learning Representations (ICLR) 2020, 2019
982019
On the Expressiveness of Approximate Inference in Bayesian Neural Networks
AYK Foong, DR Burt, Y Li, RE Turner
Neural Information Processing Systems (NeurIPS) 2020, 2019
832019
'In-Between' Uncertainty in Bayesian Neural Networks
AYK Foong, Y Li, JM Hernández-Lobato, RE Turner
Uncertainty in Deep Learning Workshop, ICML 2019, 2019
832019
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
AYK Foong, WP Bruinsma, J Gordon, Y Dubois, J Requeima, RE Turner
Neural Information Processing Systems (NeurIPS) 2020, 2020
352020
The Gaussian Neural Process
WP Bruinsma, J Requeima, AYK Foong, J Gordon, RE Turner
Advances in Approximate Bayesian Inference (AABI) 2020, 2021
232021
Pathologies of Factorised Gaussian and MC Dropout Posteriors in Bayesian Neural Networks
AYK Foong, DR Burt, Y Li, RE Turner
Bayesian Deep Learning Workshop, NeurIPS 2019, 2019
192019
Neural process family
Y Dubois, J Gordon, AY Foong
https://yanndubs.github.io/Neural-Process-Family/text/Intro.html, 2020
152020
How Tight Can PAC-Bayes be in the Small Data Regime?
AYK Foong, WP Bruinsma, DR Burt, RE Turner
Neural Information Processing Systems (NeurIPS) 2021, 2021
112021
Collapsed variational bounds for bayesian neural networks
M Tomczak, S Swaroop, A Foong, R Turner
Advances in Neural Information Processing Systems 34, 25412-25426, 2021
72021
Structured Weight Priors for Convolutional Neural Networks
T Pearce, AYK Foong, A Brintrup
Uncertainty in Deep Learning Workshop, ICML 2020, 2020
52020
Evaluating approximate inference in Bayesian deep learning
AG Wilson, P Izmailov, MD Hoffman, Y Gal, Y Li, MF Pradier, S Vikram, ...
NeurIPS 2021 Competitions and Demonstrations Track, 113-124, 2022
42022
A note on the chernoff bound for random variables in the unit interval
AYK Foong, WP Bruinsma, DR Burt
arXiv preprint arXiv:2205.07880, 2022
32022
Autoregressive Conditional Neural Processes
WP Bruinsma, S Markou, J Requiema, AYK Foong, TR Andersson, ...
arXiv preprint arXiv:2303.14468, 2023
12023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
L Klein, AYK Foong, TE Fjelde, B Mlodozeniec, M Brockschmidt, ...
arXiv preprint arXiv:2302.01170, 2023
2023
Supplement: On the Expressiveness of Approximate Inference in Bayesian Neural Networks
AYK Foong, DR Burt, Y Li, RE Turner
Supplementary Material: Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
AYK Foong, WP Bruinsma, J Gordon, Y Dubois, J Requeima, RE Turner
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