Benjamin Lindemann

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 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 Benjamin Lindemann 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
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. Daniel Hsu
8. Quoc V. Le
9. Alex Graves
10. Kyunghyun Cho

Papers from Benjamin Lindemann's perspective

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

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

Their papers

• 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