Jeremy Vincent Yu

Statistical and Nonlinear Physics · 2021

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 — 17 citations into it
• Artificial Intelligence — 8 citations into it
• AI for Physical Sciences — 7 citations into it

Whom Jeremy Vincent Yu trusts overall

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

1. Lu Lu
2. G. Em Karniadakis
3. Dongkun Zhang
4. Guofei Pang
5. Alireza Yazdani
6. Maizar Raissi
7. F. Sahli Costabal
8. Paris Perdikaris
9. Sifan Wang
10. Xuhui Meng

Who trusts Jeremy Vincent Yu overall

1. Pengzhan Jin
2. Lu Lu
3. Shuai Meng

Papers from Jeremy Vincent Yu's perspective

Ordered by how strongly the researchers Jeremy Vincent Yu 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. ImageNet classification with deep convolutional neural networks
3. fPINNs: Fractional Physics-Informed Neural Networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Physics-Informed Neural Networks for Cardiac Activation Mapping
6. DeepXDE: A Deep Learning Library for Solving Differential Equations
7. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
8. Understanding the difficulty of training deep feedforward neural networks
9. Long Short-Term Memory
10. Understanding and mitigating gradient pathologies in physics-informed neural networks

Their papers

• Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems (2021) — 771 citations