Loren Lugosch

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 117 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Loren Lugosch trusts overall

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

  1. Yoshua Bengio
  2. Alex Graves
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. J. Urgen Schmidhuber
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Tomas Mikolov
  10. Kaiming He

Who trusts Loren Lugosch overall

  1. Ankita Pasad
  2. Lingjiao Chen
  3. Cheng-I Lai
  4. Emanuele Bastianelli
  5. Minjeong Kim
  6. Yung-Sung Chuang
  7. Yao Qian
  8. Hung-yi Lee
  9. Abdel-rahman Mohamed
  10. Osvaldo Simeone

Papers from Loren Lugosch's perspective

Ordered by how strongly the researchers Loren Lugosch 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers