Susanna Röblitz

Molecular Biology · 2013

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Susanna Röblitz trusts overall

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

  1. Ulrike von Luxburg
  2. Jianbo Shi
  3. Mikhail Belkin
  4. Boaz Nadler
  5. Jitendra Malik
  6. Partha Niyogi
  7. Stéphane Lafon
  8. Ronald R. Coifman
  9. Andrew Y. Ng
  10. Marcus Weber

Who trusts Susanna Röblitz overall

  1. Lim Heo
  2. Stefan Klus
  3. Marius Lange
  4. Collin F Arbour
  5. Feliks Nuske
  6. Michael Feig
  7. Frank No'e
  8. Volker Bergen

Papers from Susanna Röblitz's perspective

Ordered by how strongly the researchers Susanna Röblitz 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Normalized cuts and image segmentation
  6. ImageNet: A large-scale hierarchical image database
  7. Going deeper with convolutions
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers