Frederik Kunstner

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 64 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Frederik Kunstner trusts overall

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

  1. James Martens
  2. Shun-ichi Amari
  3. Alex Graves
  4. Diederik P. Kingma
  5. N. Schraudolph
  6. Yoshua Bengio
  7. Geoffrey E. Hinton
  8. Yann LeCun
  9. Jimmy Ba
  10. Alex Krizhevsky

Who trusts Frederik Kunstner overall

  1. Reinhard Heckel
  2. Sidak Pal Singh
  3. Piotr A. Sokól
  4. Dan Alistarh
  5. Erik A. Daxberger
  6. Agustinus Kristiadi
  7. Elias Frantar
  8. Yi-Lin Sung
  9. Felix Dangel
  10. Apoorva Sharma

Papers from Frederik Kunstner's perspective

Ordered by how strongly the researchers Frederik Kunstner 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. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers