Timo Müller

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it

Whom Timo Müller trusts overall

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

1. Ilya Sutskever
2. Daniel Hsu
3. Sepp Hochreiter
4. Oriol Vinyals
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. Kyunghyun Cho
8. J. Urgen Schmidhuber
9. Quoc V. Le
10. T. Kim

Papers from Timo Müller's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• A survey on long short-term memory networks for time series prediction (2021) — 649 citations