Eesung Kim

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #32,341 of 35,345 by trust here, #33,294 by citations
• Signal Processing — 14 citations into it
• Speech & Audio — 12 citations into it
• Generative Models — 9 citations into it

Whom Eesung Kim trusts overall

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

1. Jaehyeon Kim
2. Adrian La'ncucki
3. Jungil Kong
4. Diederik P. Kingma
5. Jeff Donahue
6. Ron J. Weiss
7. Ryuichi Yamamoto

Who trusts Eesung Kim overall

1. Cong Han
2. Nima Mesgarani

Papers from Eesung Kim's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. WaveNet: A Generative Model for Raw Audio
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. GENERATIVE ADVERSARIAL NETS
9. Gradient-based learning applied to document recognition
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech (2022) — 75 citations