Grace C. Y. Peng

Artificial Intelligence · 2019

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 — 22 citations into it
• Statistical and Nonlinear Physics — 18 citations into it

Whom Grace C. Y. Peng trusts overall

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

1. Maizar Raissi
2. Paris Perdikaris
3. G. Em Karniadakis
4. Markus J. Buehler
5. F. Sahli Costabal
6. Peter John Hunter
7. Atilim Gunes Baydin
8. B. A. Le
9. Zhongqing Han
10. T. Chen

Papers from Grace C. Y. Peng's perspective

Ordered by how strongly the researchers Grace C. Y. Peng 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Intriguing properties of neural networks
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Multiscale modeling meets machine learning: What can we learn? (2019) — 341 citations