Felix Voigtländer

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Model Architectures — 7 citations into it
• Applied Mathematics — 5 citations into it
• Scaling & Learning Theory — 5 citations into it

Whom Felix Voigtländer trusts overall

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

1. Matus Telgarsky
2. John M. Lee
3. Stéphane Mallat
4. Martin H. Anthony
5. Itay Safran
6. Erwan Le Pennec
7. Thomas Wiatowski
8. Andrew R. Barron
9. Geoffrey E. Hinton
10. Yann LeCun

Who trusts Felix Voigtländer overall

1. Taiji Suzuki
2. Lu Lu
3. Thierry Bouwmans

Papers from Felix Voigtländer's perspective

Ordered by how strongly the researchers Felix Voigtländer 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Optimal approximation of piecewise smooth functions using deep ReLU neural networks (2017) — 546 citations