Felix Dangel

Optimization & Training · 2019

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Felix Dangel trusts overall

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

  1. James Martens
  2. Shun-ichi Amari
  3. N. Schraudolph
  4. Diederik P. Kingma
  5. Lukas Balles
  6. Roger Baker Grosse
  7. Philipp Hennig
  8. Sergey Ioffe
  9. Geoffrey E. Hinton
  10. Jimmy Ba

Who trusts Felix Dangel overall

  1. Agustinus Kristiadi
  2. Erik A. Daxberger
  3. Matthias Hein
  4. Philipp Hennig

Papers from Felix Dangel's perspective

Ordered by how strongly the researchers Felix Dangel 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  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. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers