Samuel Pfrommer

Control and Systems Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Samuel Pfrommer trusts overall

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

  1. Brandon Amos
  2. Maria Bauzá
  3. Peter W. Battaglia
  4. Yunzhu Li
  5. J. Park
  6. Bartolomeo Stellato
  7. J. Kolter
  8. Alberto Rodriguez
  9. Peter R. Florence
  10. Geoffrey E. Hinton

Papers from Samuel Pfrommer's perspective

Ordered by how strongly the researchers Samuel Pfrommer 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. GENERATIVE ADVERSARIAL NETS
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers