Daniel A. Messenger

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Statistical and Nonlinear Physics — 9 citations into it; #6,450 of 10,127 by trust here, #9,953 by citations
• Computational Mechanics — 5 citations into it; #6,733 of 10,001 by trust here, #9,862 by citations

Whom Daniel A. Messenger trusts overall

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

1. Steven L. Brunton
2. Hayden Schaeffer
3. Kunihiko Taira
4. James P. Crutchfield
5. Aly-Khan Kassam
6. Joshua L. Proctor
7. J. Nathan Kutz
8. Maizar Raissi
9. Rebecca Killick
10. Samuel H. Rudy

Who trusts Daniel A. Messenger overall

1. Urban Fasel
2. J. Nathan Kutz
3. Bingni W. Brunton

Papers from Daniel A. Messenger's perspective

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

1. Discovering governing equations from data by sparse identification of nonlinear dynamical systems
2. Regression Shrinkage and Selection via the Lasso
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Data-driven discovery of partial differential equations
8. Long Short-Term Memory
9. Equations of Motion from a Data Series
10. Exact Recovery of Chaotic Systems from Highly Corrupted Data

Their papers

• WEAK SINDY FOR PARTIAL DIFFERENTIAL EQUATIONS (2020) — 297 citations