Samuel Sonning

Signal Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Samuel Sonning trusts overall

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

  1. Yi Luo
  2. Y. Hu
  3. Jonathan Le Roux
  4. Santiago Pascual
  5. Daniel Stoller
  6. Emmanuel Vincent
  7. Heiga Zen
  8. P. Loizou
  9. Nima Mesgarani
  10. Scott Wisdom

Who trusts Samuel Sonning overall

  1. W. Kleijn

Papers from Samuel Sonning's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. SEGAN: Speech Enhancement Generative Adversarial Network
  5. ImageNet classification with deep convolutional neural networks
  6. TaSNet: Time-Domain Audio Separation Network for Real-Time, Single-Channel Speech Separation
  7. Dropout: a simple way to prevent neural networks from overfitting
  8. A Fast Learning Algorithm for Deep Belief Nets
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers