Bastian Wandt
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Generative Models — 12 citations into it
- Probabilistic & Bayesian Methods — 8 citations into it
- Computer Networks and Communications — 7 citations into it
- Industrial and Manufacturing Engineering — 7 citations into it; #909 of 2,521 by trust here, #1,336 by citations
Whom Bastian Wandt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yann LeCun
- Kaiming He
- Karen Simonyan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Jimmy Ba
- Yoshua Bengio
- Max Welling
- Andrew Zisserman
Who trusts Bastian Wandt overall
Papers from Bastian Wandt's perspective
Ordered by how strongly the researchers Bastian Wandt trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows (2020) — 442 citations
- Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection (2021) — 329 citations