Thomas Mulc

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Mulc trusts overall

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

  1. M. Seltzer
  2. Dinei A. F. Florêncio
  3. Cha Zhang

Who trusts Thomas Mulc overall

  1. Hamed Hemati
  2. Tomás Nekvinda
  3. Hyeong-Seok Choi
  4. Jihwan Lee
  5. Ondrej Dusek
  6. Damian Borth

Papers from Thomas Mulc's perspective

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

  1. CROWDMOS: An approach for crowdsourcing mean opinion score studies
  2. Robust Speaker-Adaptive HMM-Based Text-to-Speech Synthesis
  3. JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis
  4. TED-LIUM: an Automatic Speech Recognition dedicated corpus
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. WaveNet: A Generative Model for Raw Audio
  9. Long Short-Term Memory
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers