David Baehrens

Artificial Intelligence · 2009–2011

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom David Baehrens trusts overall

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

  1. Isabelle M Guyon
  2. Masashi Sugiyama
  3. Vladimir Naumovich Vapnik
  4. Vladimir Naumovich Vapni
  5. Carl E. Rasmussen
  6. Bernhard Schölkopf
  7. Eric R. Ziegel
  8. K. Müller
  9. Yann LeCun
  10. Malte Kuss

Who trusts David Baehrens overall

  1. Wojciech Samek
  2. Grgoire Montavon
  3. Been Kim
  4. Mukund Sundararajan
  5. K. Müller
  6. Sebastian Lapuschkin
  7. Pieter-Jan Kindermans
  8. Marco Tulio Ribeiro
  9. Ankur Taly
  10. Alexander Binder

Papers from David Baehrens's perspective

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

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