Alexey Kroshnin

Applied Mathematics · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Applied Mathematics — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Artificial Intelligence — 8 citations into it; #28,601 of 35,345 by trust here, #31,361 by citations
• Computational Theory and Mathematics — 7 citations into it; #9,804 of 12,182 by trust here, #8,756 by citations
• Numerical Analysis — 6 citations into it

Whom Alexey Kroshnin trusts overall

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

1. Marco Cuturi
2. Thibaut Le Gouic
3. Luigi Ambrosio
4. Martial Agueh
5. Eustasio del Barrio
6. Jean-Michel Loubes
7. Yurii E. Nesterov
8. Daniel J. Hsu
9. Pavel E. Dvurechensky
10. Nicola Gigli

Who trusts Alexey Kroshnin overall

1. G. Peyr'e

Papers from Alexey Kroshnin's perspective

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

1. Sinkhorn Distances: Lightspeed Computation of Optimal Transport
2. Gradient-based learning applied to document recognition
3. Wasserstein GAN
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Barycenters in the Wasserstein Space
6. The Earth Mover's Distance as a Metric for Image Retrieval
7. ImageNet classification with deep convolutional neural networks
8. Stochastic Optimization for Large-scale Optimal Transport
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn's Algorithm (2018) — 326 citations
• Statistical inference for Bures–Wasserstein barycenters (2019) — 48 citations