Pavel E. Dvurechensky
Artificial Intelligence · 2018
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it; #28,634 of 35,345 by trust here, #31,361 by citations
- Optimization & Training — 12 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Computational Mechanics — 7 citations into it
- Computer Networks and Communications — 6 citations into it
- Mathematical Optimization — 6 citations into it
- Numerical Analysis — 5 citations into it
Whom Pavel E. Dvurechensky trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marco Cuturi
- Yurii E. Nesterov
- Guanghui Lan
- Aude Genevay
- Yann LeCun
- Ofir Pele
- Matt J. Kusner
- Eustasio del Barrio
- G. Peyr'e
- Francis R. Bach
Who trusts Pavel E. Dvurechensky overall
- G. Peyr'e
- Alexey Kroshnin
- Giulia Luise
- Marco Cuturi
- Flavien Léger
- César A. Uribe
- Darina Dvinskikh
- Vladimir Spokoiny
- Saverio Salzo
Papers from Pavel E. Dvurechensky's perspective
Ordered by how strongly the researchers Pavel E. Dvurechensky trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters (2018) — 108 citations
- Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn's Algorithm (2018) — 326 citations