Marco Cuturi
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Applied Mathematics top 2%
- Computational Mechanics top 5%
- Statistics and Probability top 1%
- Co-authors
- Gabriel PeyréRandal DoucGuillaume CarlierJean‐David BenamouLuca NennaJean‐Philippe VertLeonidas GuibasFernando de Goes
- Topics
- Point processes and geometric inequalities (7 papers)Geometric Analysis and Curvature Flows (7 papers)Machine Learning and Algorithms (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignApplied Mathematics
- Partner nations
- FranceJapanUnited States
In The Last Decade
Marco Cuturi
44 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Artificial Intelligence 934
- Computer Vision and Pattern Recognition 885
- Applied Mathematics 359
- Computational Mechanics 300
- Statistics and Probability 268
Countries citing papers authored by Marco Cuturi
This map shows the geographic impact of Marco Cuturi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marco Cuturi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Cuturi more than expected).
Fields of papers citing papers by Marco Cuturi
This network shows the impact of papers produced by Marco Cuturi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marco Cuturi. The network helps show where Marco Cuturi may publish in the future.
Co-authorship network of co-authors of Marco Cuturi
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Cuturi. A scholar is included among the top collaborators of Marco Cuturi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marco Cuturi. Marco Cuturi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 1 | |
| 3 | Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm | 2 |
| 4 | Learning with Differentiable Pertubed Optimizers | 20 |
| 5 | Regularized Optimal Transport is Ground Cost Adversarial | 4 |
| 6 | Linear Time Sinkhorn Divergences using Positive Features | 2 |
| 7 | Differentiable Ranking and Sorting using Optimal Transport | 20 |
| 8 | Evaluating Generative Models using Divergence Frontiers | 1 |
| 9 | Unsupervised Hyper-alignment for Multilingual Word Embeddings | 18 |
| 10 | Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions | 7 |
| 11 | Log-PCA versus Geodesic PCA of histograms in the Wasserstein space | 1 |
| 12 | Wasserstein Training of Restricted Boltzmann Machines | 34 |
| 13 | Fast Dictionary Learning with a Smoothed Wasserstein Loss | 36 |
| 14 | Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations | 4 |
| 15 | Mapping kernels for trees | 7 |
| 16 | Fast Global Alignment Kernels | 141 |
| 17 | White Functionals for Anomaly Detection in Dynamical Systems | 1 |
| 18 | Semigroup Kernels on Measures | 33 |
| 19 | Shot Boundary Detection and High-Level Feature Extraction Experiments for TRECVID 2006. | 3 |
| 20 | Semigroup Kernels on Finite Sets | 10 |
About Marco Cuturi
Marco Cuturi is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 45 papers that have together received 2.6k indexed citations. Recurring topics across this work include Point processes and geometric inequalities (7 papers), Geometric Analysis and Curvature Flows (7 papers) and Machine Learning and Algorithms (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (885 citations), Computer Graphics and Computer-Aided Design (127 citations) and Applied Mathematics (359 citations). Marco Cuturi has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Gabriel Peyré, Randal Douc, Guillaume Carlier, Jean‐David Benamou, Luca Nenna, Jean‐Philippe Vert, Leonidas Guibas, Fernando de Goes, Justin Solomon and Andy Nguyễn. Their work appears in journals such as Nature, Bioinformatics and ACM Transactions on Graphics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.