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Andrew Y. K. Foong
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Convolutional Conditional Neural Processes
J Gordon, WP Bruinsma, AYK Foong, J Requeima, Y Dubois, RE Turner
International Conference on Learning Representations (ICLR) 2020, 2019
1852019
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
1402019
'In-Between' Uncertainty in Bayesian Neural Networks
AYK Foong, Y Li, JM Hernández-Lobato, RE Turner
Uncertainty in Deep Learning Workshop, ICML 2019, 2019
1382019
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
862020
Fast protein backbone generation with se (3) flow matching
J Yim, A Campbell, AYK Foong, M Gastegger, J Jiménez-Luna, S Lewis, ...
arXiv preprint arXiv:2310.05297, 2023
742023
Timewarp: Transferable acceleration of molecular dynamics by learning time-coarsened dynamics
L Klein, A Foong, T Fjelde, B Mlodozeniec, M Brockschmidt, S Nowozin, ...
Advances in Neural Information Processing Systems 36, 52863-52883, 2023
392023
The Gaussian Neural Process
WP Bruinsma, J Requeima, AYK Foong, J Gordon, RE Turner
Advances in Approximate Bayesian Inference (AABI) 2020, 2021
382021
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
342021
Improved motif-scaffolding with SE (3) flow matching
J Yim, A Campbell, E Mathieu, AYK Foong, M Gastegger, J Jiménez-Luna, ...
ArXiv, arXiv: 2401.04082 v2, 2024
312024
Autoregressive conditional neural processes
WP Bruinsma, S Markou, J Requiema, AYK Foong, TR Andersson, ...
arXiv preprint arXiv:2303.14468, 2023
302023
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
242019
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
212021
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
182022
In-Between
AY Foong, Y Li, JM Hernández-Lobato, RE Turner
Uncertainty in bayesian neural networks, 1906
71906
Denoising diffusion probabilistic models in six simple steps
RE Turner, CD Diaconu, S Markou, A Shysheya, AYK Foong, ...
arXiv preprint arXiv:2402.04384, 2024
62024
Structured Weight Priors for Convolutional Neural Networks
T Pearce, AYK Foong, A Brintrup
Uncertainty in Deep Learning Workshop, ICML 2020, 2020
52020
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
42022
Scalable emulation of protein equilibrium ensembles with generative deep learning
S Lewis, T Hempel, J Jiménez-Luna, M Gastegger, Y Xie, AYK Foong, ...
bioRxiv, 2024.12. 05.626885, 2024
12024
Approximate inference in Bayesian neural networks and translation equivariant neural processes
YK Foong
12022
Neural process family
Y Dubois, J Gordon, AY Foong
https://yanndubs.github.io/Neural-Process-Family/text/Intro.html, 2020
2020
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Artigos 1–20