Giang Tran
Computational Mechanics · 2016
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 8 citations into it
- Artificial Intelligence — 5 citations into it; #13,158 of 35,345 by trust here, #23,077 by citations
- Statistical and Nonlinear Physics — 5 citations into it
Whom Giang Tran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Floris Takens
- 慧 廣瀬
- Matthieu Kowalski
- Michael D. Schmidt
- Joshua L. Proctor
- Steven L. Brunton
- Hod Lipson
- Vladimir Naumovich Vapni
- E.J. Candes
- Michael I. Jordan
Who trusts Giang Tran overall
- Maizar Raissi
- Tong Qin
- N. Mangan
- J. Nathan Kutz
- Steven L. Brunton
- Kailiang Wu
- Daniel A. Messenger
- Eurika Kaiser
- Dongbin Xiu
- Joshua L. Proctor
Papers from Giang Tran's perspective
Ordered by how strongly the researchers Giang Tran trusts endorse each paper. Same corpus, a different order for every researcher.
- Stable signal recovery from incomplete and inaccurate measurements
- Regression Shrinkage and Selection via the Lasso
- Distilling Free-Form Natural Laws from Experimental Data
- The Nature of Statistical Learning Theory
- Nonlinear dimensionality reduction by locally linear embedding.
- Detecting strange attractors in turbulence
- Machine learning: Trends, perspectives, and prospects
- Sparse regression using mixed norms
- Compressed sensing and best k-term approximation
- Statistical Learning with Sparsity: The Lasso and Generalizations
Their papers
- Exact Recovery of Chaotic Systems from Highly Corrupted Data (2016) — 182 citations