Yannis Agiomyrgiannakis
Artificial Intelligence · 2015–2017
A researcher in the Science corpus: 6 papers; trusts 29 researchers and is trusted by 128 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 80 citations into it; #1,923 of 35,345 by trust here, #1,065 by citations
- Signal Processing — 43 citations into it; #514 of 7,572 by trust here, #1,904 by citations
- Speech & Audio — 42 citations into it; #120 of 1,076 by trust here, #24 by citations
- Natural Language Processing — 36 citations into it; #1,340 of 5,688 by trust here, #404 by citations
- Computer Vision and Pattern Recognition — 26 citations into it
- Model Architectures — 20 citations into it; #1,218 of 2,278 by trust here, #317 by citations
- Optimization & Training — 12 citations into it
- Natural Language Generation — 6 citations into it
Whom Yannis Agiomyrgiannakis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Heiga Zen
- Xavier Serra
- Hideki Kawahara
- Thomas F. Quatieri
- Keiichi Tokuda
- Alan McCree
- Hasim Sak
- A. Kain
- Andrew W. Senior
- Julius Orion Smith III
Who trusts Yannis Agiomyrgiannakis overall
- Yuxuan Wang
- Heiga Zen
- Takuma Okamoto
- Masanori Morise
- Aäron van den Oord
- Yi Zhao
- Wei Ping
- Xin Eric Wang
- R. Skerry-Ryan
- Sercan Ö. Arik
Papers from Yannis Agiomyrgiannakis's perspective
Ordered by how strongly the researchers Yannis Agiomyrgiannakis trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- Dropout: a simple way to prevent neural networks from overfitting
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
Their papers
- Tacotron: Towards End-to-End Speech Synthesis (2017) — 2,067 citations
- Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions (2017) — 3,120 citations
- Fast, Compact, and High Quality LSTM-RNN Based Statistical Parametric Speech Synthesizers for Mobile Devices (2016) — 122 citations
- Vocaine the vocoder and applications in speech synthesis (2015) — 76 citations
- Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model (2017) — 255 citations
- Voice Morphing that improves TTS quality using an optimal dynamic frequency warping-and-weighting transform (2016) — 9 citations