Marcus A. Brubaker

Artificial Intelligence · 2009–2020

A researcher in the Science corpus: 8 papers; trusts 404 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Marcus A. Brubaker trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Radford M. Neal
  5. Alex Krizhevsky
  6. Kaiming He
  7. Karen Simonyan
  8. Max Welling
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Marcus A. Brubaker overall

  1. Katerina Fragkiadaki
  2. Dustin Tran
  3. Michael Dorkenwald
  4. Nantheera Anantrasirichai
  5. Jianwen Xie
  6. Charles C. Margossian
  7. Igor Mordatch
  8. Pulkit Agrawal
  9. Sergey Levine
  10. Atilim Gunes Baydin

Papers from Marcus A. Brubaker's perspective

Ordered by how strongly the researchers Marcus A. Brubaker 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers