H. V. D. Scheer

Generative Models · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom H. V. D. Scheer trusts overall

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

1. Tero Karras
2. Martín Arjovsky

Papers from H. V. D. Scheer's perspective

Ordered by how strongly the researchers H. V. D. Scheer trusts endorse each paper. Same corpus, a different order for every researcher.

1. GENERATIVE ADVERSARIAL NETS
2. Improved Training of Wasserstein GANs
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Deep Learning
5. ImageNet classification with deep convolutional neural networks
6. Conditional Image Synthesis with Auxiliary Classifier GANs
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Wasserstein Generative Adversarial Networks
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• CTAB-GAN: Effective Table Data Synthesizing (2021) — 328 citations