Adrian Łańcucki

Generative Models · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Adrian Łańcucki trusts overall

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

  1. Lawrence R. Rabiner
  2. Laurent Dinh
  3. Diederik P. Kingma

Papers from Adrian Łańcucki's perspective

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

  1. Density estimation using Real NVP
  2. Glow: Generative Flow with Invertible 1x1 Convolutions
  3. NICE: Non-linear Independent Components Estimation
  4. Waveglow: A Flow-based Generative Network for Speech Synthesis
  5. A tutorial on hidden Markov models and selected applications in speech recognition
  6. Tacotron: Towards End-to-End Speech Synthesis
  7. Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
  10. FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

Their papers