Peter Kretschmer
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 16 citations into it; #19,585 of 21,575 by trust here, #19,766 by citations
- Generative Models — 11 citations into it
- Economics and Econometrics — 7 citations into it
- Signal Processing — 7 citations into it
- Finance — 6 citations into it
Whom Peter Kretschmer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rama Cont
- Geoffrey E. Hinton
- Cédric Villani
- Tim Bollerslev
- Alexia Jolicoeur-Martineau
- Rizwan Mushtaq
- Alex Krizhevsky
- Yoshua Bengio
- Aäron van den Oord
Who trusts Peter Kretschmer overall
Papers from Peter Kretschmer's perspective
Ordered by how strongly the researchers Peter Kretschmer trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Quant GANs: deep generation of financial time series (2019) — 352 citations