Celestine Mendler-Dünner

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 6 papers; trusts 45 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Celestine Mendler-Dünner trusts overall

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

  1. Shai Shalev-Shwartz
  2. Martin Takác
  3. Yurii E. Nesterov
  4. Peter Richtárik
  5. Tong Zhang
  6. Virginia Smith
  7. Martin Jaggi
  8. Jerome H. Friedman
  9. Guo-Xun Yuan
  10. Geoffrey E. Hinton

Who trusts Celestine Mendler-Dünner overall

  1. Lie He
  2. Matilde Gargiani
  3. Martin Jaggi
  4. Virginia Smith
  5. Rémi Le Priol
  6. Dmytro Perekrestenko
  7. Leonard Adolphs
  8. An Bian
  9. Yuanming Shi
  10. Simone Forte

Papers from Celestine Mendler-Dünner's perspective

Ordered by how strongly the researchers Celestine Mendler-Dünner 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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