Kay Gregor Hartmann

Generative Models · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 9 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Kay Gregor Hartmann trusts overall

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

1. Diederik P. Kingma
2. G. Peyr'e
3. Alec Radford
4. Jimmy Ba
5. Geoffrey E. Hinton
6. Tero Karras
7. Aäron van den Oord
8. Julien Rabin
9. Ishaan Gulrajani
10. Naveen Kodali

Who trusts Kay Gregor Hartmann overall

1. Elnaz Lashgari
2. Anne Marie Delaney
3. Eoin Brophy
4. Yannick Roy
5. Tomás Ward
6. Dehua Liang
7. Zhengwei Wang
8. Hubert J. Banville

Papers from Kay Gregor Hartmann's perspective

Ordered by how strongly the researchers Kay Gregor Hartmann 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals (2018) — 286 citations