Denis Lukovnikov

Generative Models · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 13 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it; #7,491 of 21,575 by trust here, #13,542 by citations
• Artificial Intelligence — 7 citations into it

Whom Denis Lukovnikov trusts overall

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

1. Martín Arjovsky
2. Cédric Villani
3. L. Eon Bottou

Who trusts Denis Lukovnikov overall

1. Ngoc-Trung Tran
2. Cristian Bodnar
3. Alexia Jolicoeur-Martineau
4. Sung Woo Park
5. Matt Jordan

Papers from Denis Lukovnikov's perspective

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

1. Improved Techniques for Training GANs
2. Improved Training of Wasserstein GANs
3. Wasserstein Generative Adversarial Networks
4. ImageNet classification with deep convolutional neural networks
5. Optimal Transport: Old and New
6. Gradient-based learning applied to document recognition
7. Towards Principled Methods for Training Generative Adversarial Networks
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Long Short-Term Memory
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• On the regularization of Wasserstein GANs (2017) — 221 citations