Jochen Gast
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 81 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it; #8,661 of 35,345 by trust here, #21,316 by citations
- Computer Vision and Pattern Recognition — 18 citations into it; #6,169 of 21,575 by trust here, #14,151 by citations
- Probabilistic & Bayesian Methods — 17 citations into it; #577 of 1,525 by trust here, #991 by citations
- Safety, Robustness & Interpretability — 7 citations into it
- Generative Models — 5 citations into it
Whom Jochen Gast trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Tom Minka
- Yann LeCun
- Yoshua Bengio
- Radford M. Neal
- Alex Krizhevsky
- Max Welling
- Alex Graves
- Kaiming He
Who trusts Jochen Gast overall
- Fredrik K. Gustafsson
- Hao Wang
- Antonio Loquercio
- Marco Ancona
- Martin Danelljan
- Di Feng
- Murat Sensoy
- Hongkai Chen
- Dit-Yan Yeung
- Moloud Abdar
Papers from Jochen Gast's perspective
Ordered by how strongly the researchers Jochen Gast 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Lightweight Probabilistic Deep Networks (2018) — 204 citations