Raghu Sesha Iyengar

Generative Models · 2019

A researcher in the Science corpus: 1 paper; trusts 134 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 30 citations into it; #1,598 of 1,956 by trust here, #1,875 by citations
• Computer Vision and Pattern Recognition — 28 citations into it; #17,004 of 21,575 by trust here, #19,766 by citations
• Artificial Intelligence — 9 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Raghu Sesha Iyengar trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Aäron van den Oord
4. Yoshua Bengio
5. Laurent Dinh
6. Alex Krizhevsky
7. Tero Karras
8. Danilo Jimenez Rezende
9. Kaiming He
10. Yann LeCun

Who trusts Raghu Sesha Iyengar overall

1. Håkon Hukkelås
2. Frank Lindseth
3. Rudolf Mester

Papers from Raghu Sesha Iyengar's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. GENERATIVE ADVERSARIAL NETS
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis (2019) — 50 citations