Ruijia Wang

Optimization & Training · 2018

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 15 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Numerical Analysis — 10 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Applied Mathematics — 7 citations into it
• Computational Mechanics — 7 citations into it
• Generative Models — 7 citations into it
• Mathematical Optimization — 7 citations into it

Whom Ruijia Wang trusts overall

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

1. Marco Cuturi
2. R. Tyrrell Rockafellar
3. G. Peyr'e
4. Ofir Pele
5. Neal Parikh
6. Aude Genevay
7. Martín Arjovsky
8. Jason M. Altschuler
9. Lénaïc Chizat
10. Jean-David Benamou

Who trusts Ruijia Wang overall

1. Zhenyi Wang

Papers from Ruijia Wang's perspective

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

1. Wasserstein Generative Adversarial Networks
2. Improving GANs Using Optimal Transport
3. GENERATIVE ADVERSARIAL NETS
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Sinkhorn-AutoDiff: Tractable Wasserstein Learning of Generative Models
7. On minimum Kantorovich distance estimators
8. Proximal Algorithms
9. ImageNet classification with deep convolutional neural networks
10. Understanding the difficulty of training deep feedforward neural networks

Their papers

• A Fast Proximal Point Method for Computing Exact Wasserstein Distance (2018) — 171 citations
• A Fast Proximal Point Method for Wasserstein Distance (2018) — 38 citations
• A Fast Proximal Point Method for Computing Wasserstein Distance (2018) — 18 citations