Daniel Korzekwa

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Korzekwa trusts overall

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

  1. Diederik P. Kingma

Papers from Daniel Korzekwa's perspective

Ordered by how strongly the researchers Daniel Korzekwa 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. WaveNet: A Generative Model for Raw Audio
  3. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  4. Parallel WaveNet: Fast High-Fidelity Speech Synthesis
  5. Efficient Neural Audio Synthesis
  6. Waveglow: A Flow-based Generative Network for Speech Synthesis
  7. ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
  8. MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
  9. Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
  10. Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model

Their papers