Nils Raabe

Artificial Intelligence · 2005–2016

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it; #31,891 of 35,345 by trust here, #22,463 by citations

Whom Nils Raabe trusts overall

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

1. Yoshua Bengio

Who trusts Nils Raabe overall

1. Daniel Hsu

Papers from Nils Raabe's perspective

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

1. Long Short-Term Memory
2. Learning Deep Architectures for AI
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Neural Networks: Tricks of the Trade
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deep Learning for solar power forecasting — An approach using AutoEncoder and LSTM Neural Networks (2016) — 554 citations
• klaR Analyzing German Business Cycles (2005) — 377 citations