Jakob Kruse
Computer Vision and Pattern Recognition · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 135 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 56 citations into it
- Generative Models — 49 citations into it
- Artificial Intelligence — 37 citations into it
- Probabilistic & Bayesian Methods — 20 citations into it
- Statistical and Nonlinear Physics — 10 citations into it
- Statistics and Probability — 6 citations into it
- Model Architectures — 5 citations into it
- Signal Processing — 5 citations into it
Whom Jakob Kruse trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Laurent Dinh
- Max Welling
- Karen Simonyan
- Yann LeCun
- Kaiming He
- Radford M. Neal
Who trusts Jakob Kruse overall
Papers from Jakob Kruse's perspective
Ordered by how strongly the researchers Jakob Kruse trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Guided Image Generation with Conditional Invertible Neural Networks (2019) — 351 citations
- Analyzing Inverse Problems with Invertible Neural Networks (2018) — 598 citations