Eileen Hwuang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Statistical and Nonlinear Physics — 7 citations into it; #9,897 of 10,127 by trust here, #3,616 by citations
• AI for Physical Sciences — 5 citations into it

Whom Eileen Hwuang trusts overall

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

1. Maizar Raissi
2. Paris Perdikaris
3. Yinhao Zhu
4. G. Em Karniadakis
5. Diederik P. Kingma
6. Michael L. Stein
7. Xavier Glorot
8. Yibo Yang

Who trusts Eileen Hwuang overall

1. Yang Liu

Papers from Eileen Hwuang's perspective

Ordered by how strongly the researchers Eileen Hwuang 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. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
3. ImageNet classification with deep convolutional neural networks
4. Understanding the difficulty of training deep feedforward neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Gradient-based learning applied to document recognition
9. Attention is All you Need (Neural Information Processing Systems)
10. TensorFlow: A system for large-scale machine learning

Their papers

• Machine learning in cardiovascular flows modeling: Predicting pulse wave propagation from non-invasive clinical measurements using physics-informed deep learning (2019) — 483 citations