Andrew Y. K. Foong

Cited by

	All	Since 2017
Citations	229	228
h-index	7	7
i10-index	7	7

120

201820192020202120221 6 45 112 59

Public access

View all

5 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Richard E TurnerProfessor, University of CambridgeVerified email at cam.ac.uk
Wessel BruinsmaUniversity of CambridgeVerified email at cam.ac.uk
Jonathan GordonOpenAIVerified email at openai.com
David R. BurtPhD Candidate, University of CambridgeVerified email at cam.ac.uk
James RequeimaUniversity of Cambridge, InveniaVerified email at cam.ac.uk
Yann DuboisStanford UniversityVerified email at stanford.edu
Yingzhen LiImperial College LondonVerified email at imperial.ac.uk
José Miguel Hernández-LobatoAssociate Professor in Machine Learning, University of CambridgeVerified email at cam.ac.uk
Siddharth SwaroopPhD Student, University of CambridgeVerified email at cam.ac.uk
Marcin B. TomczakPhD candidate at University of CambridgeVerified email at cam.ac.uk
Sharad VikramGoogleVerified email at google.com
Pavel IzmailovPhD Student, NYUVerified email at nyu.edu
Matthew D. HoffmanResearch Scientist, Google ResearchVerified email at google.com
Sanae LotfiPhD student, New York UniversityVerified email at nyu.edu
Yarin GalAssociate Professor, University of OxfordVerified email at cs.ox.ac.uk
Andrew Gordon WilsonNew York UniversityVerified email at cims.nyu.edu
Tim PearceUniversity of CambridgeVerified email at cam.ac.uk
Sebastian FarquharUniversity of OxfordVerified email at balliol.ox.ac.uk

Andrew Y. K. Foong

PhD student, Cambridge University

Verified email at cam.ac.uk - Homepage

Deep learning Bayesian Inference Bayesian Deep Learning PAC-Bayes Meta-learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
'In-Between' Uncertainty in Bayesian Neural Networks AYK Foong, Y Li, JM Hernández-Lobato, RE Turner Uncertainty in Deep Learning Workshop, ICML 2019, 2019	59	2019
Convolutional Conditional Neural Processes J Gordon, WP Bruinsma, AYK Foong, J Requeima, Y Dubois, RE Turner International Conference on Learning Representations (ICLR) 2020, 2019	58	2019
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	43	2019
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	18	2020
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	15	2019
The Gaussian Neural Process WP Bruinsma, J Requeima, AYK Foong, J Gordon, RE Turner Advances in Approximate Bayesian Inference (AABI) 2020, 2021	10	2021
Neural process family Y Dubois, J Gordon, AY Foong https://yanndubs.github.io/Neural-Process-Family/text/Intro.html, 2020	10	2020
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	5	2021
Structured Weight Priors for Convolutional Neural Networks T Pearce, AYK Foong, A Brintrup Uncertainty in Deep Learning Workshop, ICML 2020, 2020	5	2020
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	4	2021
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	1	2022
Evaluating Approximate Inference in Bayesian Deep Learning AG Wilson, P Izmailov, MD Hoffman, Y Gal, Y Li, MF Pradier, S Vikram, ...	1	2021

The system can't perform the operation now. Try again later.

Articles 1–12

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow this author

Cited by

Co-authors