Yannik Stradmann

Electrical and Electronic Engineering · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 23 citations into it; #12,983 of 16,539 by trust here, #13,963 by citations
• Artificial Intelligence — 20 citations into it
• Cognitive Neuroscience — 18 citations into it; #8,679 of 10,852 by trust here, #9,185 by citations
• Cellular and Molecular Neuroscience — 7 citations into it

Whom Yannik Stradmann trusts overall

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

1. Chris L. Baker
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Sepp Hochreiter
5. David E. Rumelhart
6. Alex Krizhevsky
7. Michael Pfeiffer
8. Yoshua Bengio
9. Hesham Mostafa
10. Jimmy Ba

Who trusts Yannik Stradmann overall

1. Friedemann Zenke

Papers from Yannik Stradmann's perspective

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

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

Their papers

• The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks (2019) — 337 citations