Tudor Manole
Statistics and Probability · 2021
A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 33 citations into it; #10,021 of 12,932 by trust here, #12,603 by citations
- Applied Mathematics — 31 citations into it; #5,905 of 7,620 by trust here, #7,414 by citations
- Geometry and Topology — 14 citations into it
- Artificial Intelligence — 13 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Computational Theory and Mathematics — 6 citations into it
- Mathematical Physics — 6 citations into it; #6,870 of 8,562 by trust here, #8,320 by citations
- Statistical Learning Theory — 5 citations into it
Whom Tudor Manole trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Filippo Santambrogio
- Cédric Villani
- A. van der Vaart
- Alessio Figalli
- Vladimir Naumovich Vapni
- Evarist Gin'e
- Stéphane Boucheron
- Thomas Mikosch
- Olivier Bousquet
- Guido De Philippis
Who trusts Tudor Manole overall
Papers from Tudor Manole's perspective
Ordered by how strongly the researchers Tudor Manole trusts endorse each paper. Same corpus, a different order for every researcher.
- Topics in Optimal Transportation
- Mass transportation problems
- Introduction to Nonparametric Estimation
- Uniform Central Limit Theorems
- Optimal Transport for Applied Mathematicians
- Optimal Transport: Old and New
- The Nature of Statistical Learning Theory
- Gradient-based learning applied to document recognition
- The Collected Mathematical Papers: On Monge's “Mémoire sur la théorie des déblais et des remblais”
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Sharp convergence rates for empirical optimal transport with smooth costs (2021) — 49 citations
- Plugin estimation of smooth optimal transport maps (2021) — 135 citations