Thomas Duriez

Computational Mechanics · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 40 citations into it
• Statistical and Nonlinear Physics — 27 citations into it
• Artificial Intelligence — 16 citations into it; #20,414 of 35,345 by trust here, #26,682 by citations
• Aerospace Engineering — 15 citations into it
• Control and Systems Engineering — 11 citations into it; #4,219 of 8,257 by trust here, #4,962 by citations
• Optimization & Training — 7 citations into it
• Statistics and Probability — 6 citations into it

Whom Thomas Duriez trusts overall

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

1. Bernd R. Noack
2. Clarence W. Rowley
3. Steven L. Brunton
4. Robert Tibshirani
5. Floris Takens
6. Antonio Visioli
7. Peter J. Schmid
8. Karen E. Willcox
9. John M. Guckenheimer
10. Josh C. Bongard

Who trusts Thomas Duriez overall

1. Steven L. Brunton
2. J. Nathan Kutz
3. Krithika Manohar
4. N. Mangan
5. Eric A. Deem

Papers from Thomas Duriez's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Pattern Recognition and Machine Learning
3. Reinforcement Learning: An Introduction
4. Dynamic mode decomposition of numerical and experimental data
5. The Proper Orthogonal Decomposition in the Analysis of Turbulent Flows
6. Dynamic Mode Decomposition with Control (SIAM Journal on Applied Dynamical Systems)
7. I and J
8. ImageNet classification with deep convolutional neural networks
9. Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields
10. Model Reduction for fluids, Using Balanced Proper Orthogonal Decomposition (International Journal of Bifurcation and Chaos in Applied Sciences and Engineering)

Their papers

• Prediction of biodiesel physico-chemical properties from its fatty acid composition using genetic programming (2020) — 69 citations
• Machine Learning Control – Taming Nonlinear Dynamics and Turbulence (2016) — 302 citations