Jonah Casebeer

Signal Processing · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 20 citations into it
• Artificial Intelligence — 14 citations into it
• Speech & Audio — 12 citations into it

Whom Jonah Casebeer trusts overall

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

1. Jean-Marc Valin
2. Aäron van den Oord
3. Cassia Valentini-Botinhao
4. Bingyin Xia
5. Felicia S. C. Lim
6. Oriol Vinyals
7. Jan Skoglund
8. Vassil Panayotov
9. Yong Xu
10. Jaime Lorenzo-Trueba

Who trusts Jonah Casebeer overall

1. Haici Yang
2. Wootaek Lim

Papers from Jonah Casebeer's perspective

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

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

Their papers

• Enhancing into the Codec: Noise Robust Speech Coding with Vector-Quantized Autoencoders (2021) — 28 citations