Walter R. T. Witschey

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; #9,898 of 10,127 by trust here, #3,616 by citations
• AI for Physical Sciences — 5 citations into it

Whom Walter R. T. Witschey 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

Who trusts Walter R. T. Witschey overall

1. Yang Liu

Papers from Walter R. T. Witschey's perspective

Ordered by how strongly the researchers Walter R. T. Witschey 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. Understanding the difficulty of training deep feedforward neural networks
4. TensorFlow: A system for large-scale machine learning
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Long Short-Term Memory
8. Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

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