Susanne Dandl

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Susanne Dandl trusts overall

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

  1. Chris Russell
  2. Kalyanmoy Deb
  3. Shubham Sharma
  4. John C. Gower
  5. Diederik P. Kingma
  6. Bernd Bischl
  7. Scott M. Lundberg
  8. Marco Tulio Ribeiro
  9. Sandra Wachter
  10. Berk Ustun

Who trusts Susanne Dandl overall

  1. Sahil Verma
  2. Christoph Molnar
  3. Ilia Stepin
  4. John P. Dickerson
  5. Giuseppe Casalicchio
  6. J. Alonso

Papers from Susanne Dandl's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Et al
  10. Long Short-Term Memory

Their papers