Roy Fejgin

Signal Processing · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 21 citations into it; #5,354 of 7,572 by trust here, #3,309 by citations
• Speech & Audio — 15 citations into it; #780 of 1,076 by trust here, #783 by citations
• Artificial Intelligence — 14 citations into it

Whom Roy Fejgin trusts overall

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

1. Jean-Marc Valin
2. Diederik P. Kingma
3. Aäron van den Oord
4. Jimmy Ba
5. Geoffrey E. Hinton
6. Jan Skoglund
7. W. Kleijn
8. Soroush Mehri
9. Yoshua Bengio
10. Janusz Klejsa

Who trusts Roy Fejgin overall

1. Joan Serrà
2. Jan Skoglund
3. Xue Jiang
4. Jean-Marc Valin
5. Santiago Pascual

Papers from Roy Fejgin's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. GENERATIVE ADVERSARIAL NETS
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Source Coding of Audio Signals with a Generative Model (2020) — 17 citations
• High-quality Speech Coding with Sample RNN (2018) — 63 citations