Brent Townshend

2020

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

Whom Brent Townshend trusts overall

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

  1. Andrew M. Watkins
  2. Julia Ling
  3. Stephen F. Altschul

Papers from Brent Townshend's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Group Equivariant Convolutional Networks
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. Basic local alignment search tool.
  5. Cormorant: Covariant Molecular Neural Networks
  6. Convolutional Networks on Graphs for Learning Molecular Fingerprints
  7. Tensor Field Networks: Rotation- and Translation-Equivariant Neural Networks for 3D Point Clouds
  8. The Protein Data Bank.
  9. N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials
  10. Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics

Their papers