Brooke E. Husic

Molecular Biology · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Brooke E. Husic trusts overall

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

  1. Frank No'e
  2. Daniel Müllner
  3. Vijay S. Pande
  4. Michael R. Shirts
  5. Kristof T. Schütt
  6. David Sculley
  7. W. Noid
  8. Diederik P. Kingma
  9. Kaiming He
  10. Geoffrey E. Hinton

Who trusts Brooke E. Husic overall

  1. J'erome H'enin
  2. Tony Lelièvre
  3. Nicholas E. Charron

Papers from Brooke E. Husic's perspective

Ordered by how strongly the researchers Brooke E. Husic 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. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers