Wilko Henecka

Artificial Intelligence · 2010–2018

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Wilko Henecka trusts overall

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

  1. Peter Christen
  2. Richard Nock
  3. Giorgio Patrini
  4. Matthew A. Turk
  5. Pascal Paillier
  6. Michael J. Freedman
  7. Benny Pinkas
  8. Kobbi Nissim
  9. Yuval Ishai
  10. R. Schnell

Who trusts Wilko Henecka overall

  1. David E. Evans
  2. Yan Huang
  3. Ebrahim M. Songhori
  4. Adrià Gascón
  5. Thomas Schneider
  6. Dan Bogdanov
  7. Samee Zahur
  8. Yang Liu
  9. Rahul Rachuri
  10. Pille Pullonen

Papers from Wilko Henecka's perspective

Ordered by how strongly the researchers Wilko Henecka 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. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Learning Multiple Layers of Features from Tiny Images
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers