Asmus Hetzel
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
- Probabilistic & Bayesian Methods — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Asmus Hetzel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Iain Murray
- Michalis K. Titsias
- M. Giles
- Radford M. Neal
- Max Welling
- Geoffrey E. Hinton
- Jimmy Ba
- Yoshua Bengio
- Valerio Perrone
Who trusts Asmus Hetzel overall
Papers from Asmus Hetzel's perspective
Ordered by how strongly the researchers Asmus Hetzel trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Auto-Differentiating Linear Algebra (2017) — 43 citations