Johannes Bill

Cognitive Neuroscience · 2011

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Johannes Bill trusts overall

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

  1. Geoffrey E. Hinton
  2. Sophie Denève
  3. Stuart Geman
  4. Michael D. Fox
  5. Radford M. Neal
  6. Rashmi Sundareswara
  7. Christophe Andrieu

Who trusts Johannes Bill overall

  1. Nikolaus Kriegeskorte
  2. Dejan Pecevski
  3. Wolfgang Maass
  4. Giacomo Indiveri
  5. Amirhossein Tavanaei
  6. Emre O. Neftci

Papers from Johannes Bill's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. A Fast Learning Algorithm for Deep Belief Nets
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Training Products of Experts by Minimizing Contrastive Divergence
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers