David S. Lawrie

2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom David S. Lawrie trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Paulius Micikevicius
2. John E. Stone
3. Mark J. Harris

Papers from David S. Lawrie's perspective

Ordered by how strongly the researchers David S. Lawrie trusts endorse each paper. Same corpus, a different order for every researcher.

1. OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems (Computing in science & engineering (Print))
2. Generating samples under a Wright-Fisher neutral model of genetic variation (Bioinform.)
3. 3D finite difference computation on GPUs using CUDA (GPGPU-2)
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Rectified Linear Units Improve Restricted Boltzmann Machines
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Accelerating Wright–Fisher Forward Simulations on the Graphics Processing Unit (2016) — 490 citations