Thomas Nierhoff

Computational Mechanics · 2015

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Nierhoff trusts overall

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

  1. Stefan Schaal
  2. Gabriel Taubin
  3. Steven M. LaValle
  4. Olga Sorkine-Hornung
  5. Mario Botsch
  6. Sergey Levine
  7. Oliver Brock
  8. Sertac Karaman
  9. Bruno Lévy
  10. John Schulman

Who trusts Thomas Nierhoff overall

  1. Seyed Reza Ahmadzadeh
  2. Sonia Chernova

Papers from Thomas Nierhoff's perspective

Ordered by how strongly the researchers Thomas Nierhoff 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. 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. ImageNet Large Scale Visual Recognition Challenge
  9. GENERATIVE ADVERSARIAL NETS
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers