Henning Petzka

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; #7,490 of 21,575 by trust here, #13,542 by citations
• Artificial Intelligence — 7 citations into it

Whom Henning Petzka trusts overall

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

1. Martín Arjovsky
2. Cédric Villani
3. L. Eon Bottou
4. Tim Salimans
5. Ishaan Gulrajani
6. Soumith Chintala
7. Ian J. Goodfellow
8. Geoffrey E. Hinton
9. Alec Radford
10. Diederik P. Kingma

Who trusts Henning Petzka overall

1. Ngoc-Trung Tran
2. Cristian Bodnar
3. Alexia Jolicoeur-Martineau
4. Sung Woo Park
5. Matt Jordan
6. Abdul Jabbar
7. Viet-Hung Tran
8. Joel Cameron Frank
9. Ioannis Mitliagkas
10. Ngoc-Bao Nguyen

Papers from Henning Petzka's perspective

Ordered by how strongly the researchers Henning Petzka 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Improved Techniques for Training GANs
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

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