Sebastian Johann Wetzel

Materials Chemistry · 2017

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 7 citations into it
• Artificial Intelligence — 6 citations into it
• Atomic and Molecular Physics, and Optics — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Sebastian Johann Wetzel trusts overall

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

1. Lei Wang
2. Diederik P. Kingma
3. Pierre Baldi
4. Hervé Bourlard
5. Kurt Hornik
6. Geoffrey E. Hinton
7. Max Welling
8. Alex Krizhevsky
9. Yves G. Kamp
10. George V. Cybenko

Who trusts Sebastian Johann Wetzel overall

1. Yihao Xu
2. Xianzhe Zhang
3. Yun Raymond Fu
4. Yongmin Liu
5. Giuseppe Carleo

Papers from Sebastian Johann Wetzel's perspective

Ordered by how strongly the researchers Sebastian Johann Wetzel 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders (2017) — 371 citations