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Bobby He
Bobby He
ETH Zürich
Dirección de correo verificada de inf.ethz.ch - Página principal
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Bayesian deep ensembles via the neural tangent kernel
B He, B Lakshminarayanan, YW Teh
Advances in neural information processing systems 33, 1010-1022, 2020
962020
Stable resnet
S Hayou, E Clerico, B He, G Deligiannidis, A Doucet, J Rousseau
International Conference on Artificial Intelligence and Statistics, 1324-1332, 2021
332021
Exploring the gap between collapsed & whitened features in self-supervised learning
B He, M Ozay
International Conference on Machine Learning, 8613-8634, 2022
132022
Uncertainr: Uncertainty quantification of end-to-end implicit neural representations for computed tomography
F Vasconcelos, B He, N Singh, YW Teh
arXiv preprint arXiv:2202.10847, 2022
132022
Feature kernel distillation
B He, M Ozay
International Conference on Learning Representations, 2021
132021
Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid-19 epidemic in British local …
YW Teh, B Elesedy, B He, M Hutchinson, S Zaidi, A Bhoopchand, ...
Journal of the Royal Statistical Society Series A: Statistics in Society 185 …, 2022
92022
Effectiveness and resource requirements of test, trace and isolate strategies for COVID in the UK
B He, S Zaidi, B Elesedy, M Hutchinson, A Paleyes, G Harling, ...
Royal Society open science 8 (3), 201491, 2021
8*2021
The shaped transformer: Attention models in the infinite depth-and-width limit
L Noci, C Li, MB Li, B He, T Hofmann, C Maddison, DM Roy
arXiv preprint arXiv:2306.17759, 2023
62023
Deep transformers without shortcuts: Modifying self-attention for faithful signal propagation
B He, J Martens, G Zhang, A Botev, A Brock, SL Smith, YW Teh
arXiv preprint arXiv:2302.10322, 2023
62023
Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded learning
S Hayou, B He, GK Dziugaite
arXiv preprint arXiv:2110.11804, 2021
22021
Simplifying Transformer Blocks
B He, T Hofmann
arXiv preprint arXiv:2311.01906, 2023
2023
Authors’ Reply to the Discussion of ‘Efficient Bayesian Inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting …
YW Teh, B Elesedy, B He, M Hutchinson, S Zaidi, A Bhoopchand, ...
Journal of the Royal Statistical Society Series A: Statistics in Society 185 …, 2022
2022
On kernel and feature learning in neural networks
B He
University of Oxford, 2022
2022
Stochastic Pruning: Fine-Tuning, and PAC-Bayes bound optimization
S Hayou, B He, GK Dziugaite
parameters 1 (2), 2, 0
Uncertainty Quantification in End-to-End Implicit Neural Representations for Medical Imaging
F Vasconcelos, B He, YW Teh
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Artículos 1–15