Ryan J. Prenger

Artificial Intelligence · 2008–2023

A researcher in the Science corpus: 9 papers; trusts 101 researchers and is trusted by 198 researchers here, as inferred from the citation graph.

Subfields

Whom Ryan J. Prenger trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Tim Salimans
  4. Yoshua Bengio
  5. Jimmy Ba
  6. Aäron van den Oord
  7. Laurent Dinh
  8. Alex Krizhevsky
  9. Alex Graves
  10. Ilya Sutskever

Who trusts Ryan J. Prenger overall

  1. Xu Tan
  2. Wei Ping
  3. Jaehyeon Kim
  4. Rafael Valle
  5. Vadim Popov
  6. Xin Eric Wang
  7. Conor Durkan
  8. Kainan Peng
  9. Stanislav Beliaev
  10. Adrian La'ncucki

Papers from Ryan J. Prenger's perspective

Ordered by how strongly the researchers Ryan J. Prenger 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers