Timothy H. Muller

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Timothy H. Muller trusts overall

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

  1. Josh Tenenbaum
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Peter S. Dayan
  5. Charles Kemp
  6. Radford M. Neal
  7. T. Bliss
  8. Max Welling
  9. Yoshua Bengio
  10. Richard S. Sutton

Who trusts Timothy H. Muller overall

  1. S. Bernardi
  2. Ida Momennejad

Papers from Timothy H. Muller's perspective

Ordered by how strongly the researchers Timothy H. Muller 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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers