Bingni W. Brunton

Statistical and Nonlinear Physics · 2013–2021

A researcher in the Science corpus: 9 papers; trusts 66 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 151 citations into it; #830 of 10,127 by trust here, #846 by citations
• Computational Mechanics — 131 citations into it; #3,531 of 10,001 by trust here, #3,029 by citations
• Artificial Intelligence — 51 citations into it; #23,434 of 35,345 by trust here, #17,110 by citations
• Statistics and Probability — 50 citations into it; #4,075 of 12,932 by trust here, #2,579 by citations
• Control and Systems Engineering — 33 citations into it
• Computational Theory and Mathematics — 22 citations into it
• Molecular Biology — 21 citations into it; #3,935 of 17,773 by trust here, #9,600 by citations
• Computer Vision and Pattern Recognition — 20 citations into it

Whom Bingni W. Brunton trusts overall

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

1. Steven L. Brunton
2. Igor Mezi'c
3. Clarence W. Rowley
4. Joshua L. Proctor
5. Joel A. Tropp
6. Peter J. Schmid
7. J. Nathan Kutz
8. Robert Tibshirani
9. Bernd R. Noack
10. Jonathan H. Tu

Who trusts Bingni W. Brunton overall

1. Steven L. Brunton
2. J. Nathan Kutz
3. Maizar Raissi
4. Hassan Arbabi
5. Joshua L. Proctor
6. Igor Mezi'c
7. Marco Loog
8. Milan Korda
9. Krithika Manohar
10. Eurika Kaiser

Papers from Bingni W. Brunton's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Dynamic mode decomposition of numerical and experimental data
8. A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition (Journal of nonlinear science)
9. On dynamic mode decomposition: Theory and applications
10. ImageNet: A large-scale hierarchical image database

Their papers

• Chaos as an intermittently forced linear system (2016) — 645 citations
• Koopman Invariant Subspaces and Finite Linear Representations of Nonlinear Dynamical Systems for Control (2015) — 696 citations
• Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems (2016) — 1,558 citations
• Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control (2021) — 371 citations
• Data-Driven Sparse Sensor Placement for Reconstruction: Demonstrating the Benefits of Exploiting Known Patterns (2017) — 471 citations
• Exploiting sparsity and equation-free architectures in complex systems (2014) — 68 citations
• Extracting spatial-temporal coherent patterns in large-scale neural recordings using dynamic mode decomposition. (2014) — 486 citations
• Exploiting sparsity and equation-free architectures in complex systems (2014)
• Rats and Humans Can Optimally Accumulate Evidence for Decision-Making (2013) — 609 citations