Andrew Brock
Andrew Brock
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Cited by
Cited by
Large Scale GAN Training for High Fidelity Natural Image Synthesis
A Brock, J Donahue, K Simonyan
arXiv preprint arXiv:1809.11096, 2018
Flamingo: a Visual Language Model for Few-Shot Learning
JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ...
arXiv preprint arXiv:2204.14198, 2022
Gemini: A family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
SMASH: One-Shot Model Architecture Search through HyperNetworks
A Brock, T Lim, JM Ritchie, N Weston
arXiv preprint arXiv:1708.05344, 2017
Perceiver: General Perception with Iterative Attention
A Jaegle, F Gimeno, A Brock, A Zisserman, O Vinyals, J Carreira
arXiv preprint arXiv:2103.03206, 2021
Improving language models by retrieving from trillions of tokens
S Borgeaud, A Mensch, J Hoffmann, T Cai, E Rutherford, K Millican, ...
arXiv preprint arXiv:2112.04426, 2021
Skillful Precipitation Nowcasting using Deep Generative Models of Radar
S Ravuri, K Lenc, M Willson, D Kangin, R Lam, P Mirowski, M Fitzsimons, ...
arXiv preprint arXiv:2104.00954, 2021
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
A Brock, T Lim, JM Ritchie, N Weston
arXiv preprint arXiv:1608.04236, 2016
Neural Photo Editing with Introspective Adversarial Networks
A Brock, T Lim, JM Ritchie, N Weston
arXiv preprint arXiv:1609.07093, 2016
High-Performance Large-Scale Image Recognition Without Normalization
A Brock, S De, SL Smith, K Simonyan
arXiv preprint arXiv:2102.06171, 2021
Perceiver IO: A General Architecture for Structured Inputs & Outputs
A Jaegle, S Borgeaud, JB Alayrac, C Doersch, C Ionescu, D Ding, ...
arXiv preprint arXiv:2107.14795, 2021
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
FreezeOut: Accelerate Training by Progressively Freezing Layers
A Brock, T Lim, JM Ritchie, N Weston
arXiv preprint arXiv:1706.04983, 2017
Characterizing signal propagation to close the performance gap in unnormalized ResNets
A Brock, S De, SL Smith
arXiv preprint arXiv:2101.08692, 2021
Implicit weight uncertainty in neural networks
N Pawlowski, A Brock, MCH Lee, M Rajchl, B Glocker
arXiv preprint arXiv:1711.01297, 2017
Evolving Normalization-Activation Layers
H Liu, A Brock, K Simonyan, QV Le
arXiv preprint arXiv:2004.02967, 2020
BYOL works even without batch statistics
PH Richemond, JB Grill, F Altché, C Tallec, F Strub, A Brock, S Smith, ...
arXiv preprint arXiv:2010.10241, 2020
Towards Learning Universal Audio Representations
L Wang, P Luc, Y Wu, A Recasens, L Smaira, A Brock, A Jaegle, ...
arXiv preprint arXiv:2111.12124, 2021
Training generative adversarial networks by solving ordinary differential equations
C Qin, Y Wu, JT Springenberg, A Brock, J Donahue, T Lillicrap, P Kohli
Advances in Neural Information Processing Systems 33, 5599-5609, 2020
Drawing Multiple Augmentation Samples Per Image During Training Efficiently Decreases Test Error
S Fort, A Brock, R Pascanu, S De, SL Smith
arXiv preprint arXiv:2105.13343, 2021
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