Kristina Preuer

Computational Theory and Mathematics · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kristina Preuer trusts overall

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

  1. Sepp Hochreiter
  2. Günter Klambauer
  3. Thomas Unterthiner
  4. Geoffrey E. Hinton
  5. Andreas Mayr
  6. J. Urgen Schmidhuber
  7. Tim Salimans
  8. Marwin H. S. Segler
  9. Martin Heusel
  10. Marcus Olivecrona

Who trusts Kristina Preuer overall

  1. Dan Friedman
  2. Jaehyeong Jo
  3. José Jiménez-Luna
  4. Thomas Unterthiner
  5. Kevin Yang
  6. Carl N. Edwards
  7. Francesca Grisoni
  8. Michael Moret
  9. Josep Arús‐Pous
  10. B. Kuenzi

Papers from Kristina Preuer's perspective

Ordered by how strongly the researchers Kristina Preuer trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. GENERATIVE ADVERSARIAL NETS
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers