Robert Brand

Statistical and Nonlinear Physics · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Robert Brand trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He

Papers from Robert Brand's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. Et al
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers