activity
20162021
most citedGenerative and Discriminative Voxel Modeling with Convolutional Neural Networks

452 citations · 1.2k across the 5 of their papers we have counts for

collaborators

5 papers

physics.ins-det2021

Two-Photon Dual-Comb LiDAR

Hollie Wright, Jinghua Sun, David McKendrick +2

The interferometric signals produced in conventional dual-comb laser ranging require femtosecond lasers with long-term f_CEO stability, and are limited to an upper sampling rate by…

cs.LG2017★ 393 cited

SMASH: One-Shot Model Architecture Search through HyperNetworks

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

Designing architectures for deep neural networks requires expert knowledge and substantial computation time. We propose a technique to accelerate architecture selection by learning…

stat.ML2017★ 75 cited

FreezeOut: Accelerate Training by Progressively Freezing Layers

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

The early layers of a deep neural net have the fewest parameters, but take up the most computation. In this extended abstract, we propose to only train the hidden layers for a set…

cs.LG2016★ 247 cited

Neural Photo Editing with Introspective Adversarial Networks

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

The increasingly photorealistic sample quality of generative image models suggests their feasibility in applications beyond image generation. We present the Neural Photo Editor, an…

cs.CV2016★ 452 cited

Generative and Discriminative Voxel Modeling with Convolutional Neural Networks

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

When working with three-dimensional data, choice of representation is key. We explore voxel-based models, and present evidence for the viability of voxellated representations in ap…