Michael Widrich

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 94 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Widrich trusts overall

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

  1. Sepp Hochreiter
  2. Alex Graves
  3. J. Urgen Schmidhuber
  4. Geoffrey E. Hinton
  5. Richard S. Sutton
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Alex Krizhevsky
  10. Ilya Sutskever

Who trusts Michael Widrich overall

  1. Wojciech Samek
  2. Grgoire Montavon
  3. Fabian Paischer
  4. J. Urgen Schmidhuber
  5. Hubert Ramsauer
  6. Andreas Furst
  7. Bernhard Schäfl

Papers from Michael Widrich's perspective

Ordered by how strongly the researchers Michael Widrich 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers