papers

Publications (21)

cs.CV2022

Flamingo: a Visual Language Model for Few-Shot Learning

Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc +24

cs.CL2025

Gemini: A Family of Highly Capable Multimodal Models

Gemini Team, Rohan Anil, Sebastian Borgeaud +1340

stat.ML2017

FreezeOut: Accelerate Training by Progressively Freezing Layers

Andrew Brock, Theodore Lim, J. M. Ritchie +1

cs.CV2021

Perceiver: General Perception with Iterative Attention

Andrew Jaegle, Felix Gimeno, Andrew Brock +3

cs.LG2021

Characterizing signal propagation to close the performance gap in unnormalized ResNets

Andrew Brock, Soham De, Samuel L. Smith

cs.SD2022

Towards Learning Universal Audio Representations

Luyu Wang, Pauline Luc, Yan Wu +8

cs.LG2022

Drawing Multiple Augmentation Samples Per Image During Training Efficiently Decreases Test Error

Stanislav Fort, Andrew Brock, Razvan Pascanu +2

cs.CV2021

High-Performance Large-Scale Image Recognition Without Normalization

Andrew Brock, Soham De, Samuel L. Smith +1

cs.LG2017

SMASH: One-Shot Model Architecture Search through HyperNetworks

Andrew Brock, Theodore Lim, J. M. Ritchie +1

cs.LG2021

Skillful Precipitation Nowcasting using Deep Generative Models of Radar

Suman Ravuri, Karel Lenc, Matthew Willson +17

cs.LG2017

Neural Photo Editing with Introspective Adversarial Networks

Andrew Brock, Theodore Lim, J. M. Ritchie +1

cs.LG2022

Perceiver IO: A General Architecture for Structured Inputs & Outputs

Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac +12

cs.CV2016

Generative and Discriminative Voxel Modeling with Convolutional Neural Networks

Andrew Brock, Theodore Lim, J. M. Ritchie +1

stat.ML2018

Implicit Weight Uncertainty in Neural Networks

Nick Pawlowski, Andrew Brock, Matthew C. H. Lee +2

stat.ML2020

BYOL works even without batch statistics

Pierre H. Richemond, Jean-Bastien Grill, Florent Altché +8

cs.LG2020

Evolving Normalization-Activation Layers

Hanxiao Liu, Andrew Brock, Karen Simonyan +1

cs.LG2019

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Andrew Brock, Jeff Donahue, Karen Simonyan

stat.ML2020

Training Generative Adversarial Networks by Solving Ordinary Differential Equations

Chongli Qin, Yan Wu, Jost Tobias Springenberg +4

cs.CL2024

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Gemini Team, Petko Georgiev, Ving Ian Lei +1132

cs.CV2023

ConvNets Match Vision Transformers at Scale

Samuel L. Smith, Andrew Brock, Leonard Berrada +1

cs.LG2023

Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation

Bobby He, James Martens, Guodong Zhang +4