Vassilis Tsiaras
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it; #14,072 of 35,345 by trust here, #18,186 by citations
- Signal Processing — 35 citations into it; #2,715 of 7,572 by trust here, #3,099 by citations
- Speech & Audio — 28 citations into it
- Natural Language Processing — 18 citations into it; #3,339 of 5,688 by trust here, #4,682 by citations
- Computer Vision and Pattern Recognition — 15 citations into it
- Optimization & Training — 5 citations into it
Whom Vassilis Tsiaras trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Aäron van den Oord
- Cassia Valentini-Botinhao
- Heiga Zen
- Geoffrey E. Hinton
- Keiichi Tokuda
- Jimmy Ba
- Kaiming He
- Yoshua Bengio
- Bajibabu Bollepalli
Who trusts Vassilis Tsiaras overall
- Lauri Juvela
- Bajibabu Bollepalli
- Jean-Marc Valin
- Qiao Tian
- Yang Ai
- Eunwoo Song
- Junichi Yamagishi
- Paavo Alku
Papers from Vassilis Tsiaras's perspective
Ordered by how strongly the researchers Vassilis Tsiaras trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- GlotNet—A Raw Waveform Model for the Glottal Excitation in Statistical Parametric Speech Synthesis (2019) — 44 citations
- Speech Enhancement for Noise-Robust Speech Synthesis Using Wasserstein GAN (2019) — 21 citations
- Speaker-independent raw waveform model for glottal excitation (2018) — 39 citations