Kai Yu

Artificial Intelligence · 1 papers · 2024

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Speech & Audio — 29 citations into it
• Signal Processing — 26 citations into it
• Generative Models — 12 citations into it
• Statistical and Nonlinear Physics — 8 citations into it

Whom Kai Yu trusts

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

1. Hubert Siuzdak (in Artificial Intelligence)
2. Diederik P. Kingma (in Artificial Intelligence)

Papers from Kai Yu's perspective

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

1. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
2. Decoupled Weight Decay Regularization
3. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
4. Librispeech: An ASR corpus based on public domain audio books
5. Attention is All you Need (Neural Information Processing Systems)
6. Score-Based Generative Modeling through Stochastic Differential Equations
7. Classifier-Free Diffusion Guidance
8. Diffusion Models Beat GANs on Image Synthesis
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. ImageNet classification with deep convolutional neural networks

Their papers

• F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching (2024) — 490 citations