Scott W. Linderman

Artificial Intelligence · 2014–2022

A researcher in the Science corpus: 7 papers; trusts 136 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Scott W. Linderman trusts overall

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

  1. Diederik P. Kingma
  2. David M. Blei
  3. Radford M. Neal
  4. Arnaud Doucet
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Iain Murray
  8. Alex Krizhevsky
  9. Michael I. Jordan
  10. Yann LeCun

Who trusts Scott W. Linderman overall

  1. Eric C. Hall
  2. Emmanuel Bacry
  3. Idan Achituve
  4. Simiao Zuo
  5. Rebecca M. Willett
  6. Florian Wenzel
  7. Josue Nassar
  8. Savvas Zannettou
  9. Théo Galy-Fajou
  10. Iacopo Mastromatteo

Papers from Scott W. Linderman's perspective

Ordered by how strongly the researchers Scott W. Linderman 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. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers