Yingbo Ma

Statistical and Nonlinear Physics · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 25 citations into it
• Computational Mechanics — 12 citations into it
• Numerical Analysis — 6 citations into it

Whom Yingbo Ma trusts overall

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

1. Steven L. Brunton
2. Diederik P. Kingma
3. William W. Hager
4. N. Mangan
5. Joshua L. Proctor
6. Jiequn Han
7. Peter J. Schmid
8. J. Nathan Kutz
9. W. E
10. Dong C. Liu

Papers from Yingbo Ma's perspective

Ordered by how strongly the researchers Yingbo Ma 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
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

• Universal Differential Equations for Scientific Machine Learning (2020) — 823 citations