Jeremy A. Templeton

Computational Mechanics · 2015–2016

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 12 citations into it; #656 of 10,001 by trust here, #1,219 by citations
• Artificial Intelligence — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Environmental Engineering — 7 citations into it
• Model Architectures — 5 citations into it

Whom Jeremy A. Templeton trusts overall

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

1. Stephen B. Pope
2. Trevor J. Hastie
3. Karthik Duraisamy

Who trusts Jeremy A. Templeton overall

1. Heng Xiao
2. Jin-Long Wu
3. Karthik Duraisamy
4. Jian-Xun Wang
5. Julia Ling
6. Justin A. Sirignano
7. Paola Cinnella
8. Steven L. Brunton
9. Gianluca Iaccarino
10. Anand Pratap Singh

Papers from Jeremy A. Templeton's perspective

Ordered by how strongly the researchers Jeremy A. Templeton trusts endorse each paper. Same corpus, a different order for every researcher.

1. Random Forests
2. Large-Scale Video Classification with Convolutional Neural Networks
3. A paradigm for data-driven predictive modeling using field inversion and machine learning
4. Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty
5. An explicit algebraic Reynolds stress model for incompressible and compressible turbulent flows (Journal of Fluid Mechanics)
6. Neural network modeling for near wall turbulent flow
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet classification with deep convolutional neural networks
9. Gradient-based learning applied to document recognition
10. Long Short-Term Memory

Their papers

• Machine learning strategies for systems with invariance properties (2016) — 368 citations
• Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty (2015) — 388 citations
• Reynolds averaged turbulence modelling using deep neural networks with embedded invariance (2016) — 1,578 citations