Jason Sakellariou

2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Whom Jason Sakellariou trusts overall

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

  1. Nicolas Boulanger-Lewandowski
  2. Pradeep Ravikumar
  3. Magnus Ekeberg
  4. Yoshua Bengio
  5. Christopher K. I. Williams

Who trusts Jason Sakellariou overall

  1. Cheng-Zhi Anna Huang
  2. Gaëtan Hadjeres

Papers from Jason Sakellariou's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Estimation of Non-Normalized Statistical Models by Score Matching
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Harmonising Chorales by Probabilistic Inference

Their papers