Didrik Nielsen

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 6 papers; trusts 124 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Didrik Nielsen trusts overall

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

  1. Diederik P. Kingma
  2. Radford M. Neal
  3. Geoffrey E. Hinton
  4. Ronald J. Williams
  5. Alex Graves
  6. Danilo Jimenez Rezende
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Max Welling
  10. Yann LeCun

Who trusts Didrik Nielsen overall

  1. Amal Asselman
  2. Laurence Aitchison
  3. Liwei Zhou
  4. Frederik Kunstner
  5. Mohamed Khaldi
  6. Sayna Ebrahimi
  7. Laurent Valentin Jospin
  8. Aaron Mishkin
  9. Eliya Nachmani
  10. Hanna Tseran

Papers from Didrik Nielsen's perspective

Ordered by how strongly the researchers Didrik Nielsen 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. GENERATIVE ADVERSARIAL NETS

Their papers