Michael Weyrich

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Model Architectures — 12 citations into it
• Natural Language Processing — 5 citations into it

Whom Michael Weyrich trusts overall

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

1. Ilya Sutskever
2. Sepp Hochreiter
3. Oriol Vinyals
4. J. Urgen Schmidhuber

Who trusts Michael Weyrich overall

1. Giuseppe Aceto
2. Pallavi Sethi
3. Valerio Persico

Papers from Michael Weyrich's perspective

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

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

Their papers

• Reference Architectures for the Internet of Things (2016) — 395 citations
• A Survey on Anomaly Detection for Technical Systems using LSTM Networks (2021) — 410 citations
• A survey on long short-term memory networks for time series prediction (2021) — 649 citations