Frank Zalkow

Signal Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Frank Zalkow trusts overall

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

  1. Jacob Benesty
  2. Diederik P. Kingma
  3. Daniel W. Griffin
  4. Jean-Marc Valin

Papers from Frank Zalkow's perspective

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

  1. WaveNet: A Generative Model for Raw Audio
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Deep Voice: Real-time Neural Text-to-Speech (International Conference on Machine Learning)
  6. Long Short-Term Memory
  7. Efficient Neural Audio Synthesis
  8. Glow: Generative Flow with Invertible 1x1 Convolutions
  9. Waveglow: A Flow-based Generative Network for Speech Synthesis
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers