Georg Krempl

Statistical and Nonlinear Physics · 2014

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

Subfields

Whom Georg Krempl trusts overall

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

  1. Mark Newman
  2. J. Manyika
  3. João Gama
  4. Yoshinobu Kawahara
  5. David M. Blei
  6. Aaron Clauset
  7. Mohamed Medhat Gaber
  8. Takeshi Sakaki
  9. Isabelle M Guyon
  10. Akshay Java

Who trusts Georg Krempl overall

  1. Da-Wei Zhou
  2. Qiwen Wang

Papers from Georg Krempl's perspective

Ordered by how strongly the researchers Georg Krempl 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  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. Latent Dirichlet Allocation

Their papers