Sebastian Trimpe

Artificial Intelligence · with Allgöwer · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Control and Systems Engineering — 8 citations into it

Whom Sebastian Trimpe trusts overall

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

1. Sergey Levine
2. George V. Cybenko
3. Yann LeCun
4. W. Hoeffding
5. Martin Fodslette Møller
6. Joel A. E. Andersson
7. Yoshua Bengio
8. David Q. Mayne
9. Geoffrey E. Hinton
10. Shai Shalev-Shwartz

Papers from Sebastian Trimpe's perspective

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

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

Their papers

• Learning an Approximate Model Predictive Controller With Guarantees (2018) — 299 citations