Michael Muelly

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 90 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Muelly trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Matthew D. Zeiler
  6. Andrea Vedaldi
  7. Karen Simonyan
  8. Pieter-Jan Kindermans
  9. Diederik P. Kingma
  10. Kaiming He

Who trusts Michael Muelly overall

  1. Laura Rieger
  2. Xuhong Li
  3. Sara Hooker
  4. Giulia Vilone

Papers from Michael Muelly's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers