Yannis Stylianou
Artificial Intelligence · 2001–2020
A researcher in the Science corpus: 8 papers; trusts 46 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 75 citations into it; #9,643 of 35,345 by trust here, #12,580 by citations
- Signal Processing — 58 citations into it; #4,957 of 7,572 by trust here, #1,904 by citations
- Speech & Audio — 48 citations into it
- Natural Language Processing — 23 citations into it
- Generative Models — 15 citations into it
- Evaluation & Benchmarks — 6 citations into it
Whom Yannis Stylianou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eric Moulines
- Daniel W. Griffin
- Francis Charpentier
- Jae S. Lim
- Dan Stowell
- Aäron van den Oord
- Yoshua Bengio
- Geoffrey E. Hinton
- Alan W. Black
- Diederik P. Kingma
Who trusts Yannis Stylianou overall
- Bajibabu Bollepalli
- Lauri Juvela
- Yi-Chiao Wu
- Tomoki Toda
- Prasanna Kumar Muthukumar
- Paavo Alku
- Xu Tan
- Berrak Sisman
- Maximilian Pichler
- Yannis Agiomyrgiannakis
Papers from Yannis Stylianou's perspective
Ordered by how strongly the researchers Yannis Stylianou trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Learning Domain-Independent Dialogue Policies via Ontology Parameterisation (2015) — 37 citations
- Enhancing Speech Intelligibility in Text-To-Speech Synthesis using Speaking Style Conversion (2020) — 25 citations
- Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording Conditions (2020) — 34 citations
- Speech Enhancement for Noise-Robust Speech Synthesis Using Wasserstein GAN (2019) — 21 citations
- Neural Text-to-Speech Adaptation from Low Quality Public Recordings (2019) — 27 citations
- Automatic acoustic detection of birds through deep learning: The first Bird Audio Detection challenge (2018) — 372 citations
- Fusion of multiple parameterisations for DNN-based sinusoidal speech synthesis with multi-task learning (2015) — 34 citations
- Applying the harmonic plus noise model in concatenative speech synthesis (2001) — 384 citations