Christian Hammerschmidt

Generative Models · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Generative Models — 14 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it; #20,774 of 21,575 by trust here, #20,271 by citations
• Artificial Intelligence — 8 citations into it; #34,135 of 35,345 by trust here, #32,362 by citations

Whom Christian Hammerschmidt trusts overall

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

1. Diederik P. Kingma
2. Individualized Treat
3. Chris J. Maddison
4. Eric Jang
5. Max Welling
6. Geoffrey E. Hinton
7. Ishaan Gulrajani
8. Yoshua Bengio
9. Andriy Mnih
10. Edward Choi

Who trusts Christian Hammerschmidt overall

1. Lei Xu

Papers from Christian Hammerschmidt's perspective

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

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

Their papers

• Generating Multi-Categorical Samples with Generative Adversarial Networks (2018) — 82 citations