Magnus Wiese

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; #19,563 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 Magnus Wiese trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Rama Cont
2. Geoffrey E. Hinton
3. Cédric Villani
4. Tim Bollerslev
5. Alexia Jolicoeur-Martineau
6. Rizwan Mushtaq
7. Yoshua Bengio
8. Alex Krizhevsky
9. Aäron van den Oord
10. Ian J. Goodfellow

Who trusts Magnus Wiese overall

1. Samuel A. Assefa
2. Abdul Jabbar
3. Xi Li

Papers from Magnus Wiese's perspective

Ordered by how strongly the researchers Magnus Wiese trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Quant GANs: deep generation of financial time series (2019) — 352 citations