Rüdiger Ehlers

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 83 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #2,026 of 35,345 by trust here, #11,327 by citations
• Computational Theory and Mathematics — 7 citations into it
• Safety, Robustness & Interpretability — 6 citations into it; #107 of 2,251 by trust here, #1,162 by citations

Whom Rüdiger Ehlers trusts overall

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

1. Xiaowei Huang
2. Bruno Dutertre
3. Yann LeCun
4. L. Eon Bottou
5. Leonardo de Moura
6. Yoshua Bengio
7. J. Urgen Schmidhuber
8. Geoffrey E. Hinton
9. Luca Pulina
10. Alex Krizhevsky

Who trusts Rüdiger Ehlers overall

1. Eric Wong
2. Shiqi Wang
3. Rudy Bunel
4. Gagandeep Singh
5. Huan Zhang
6. Hadi Salman
7. Vincent Tjeng
8. Kai Y. Xiao
9. J. Kolter
10. Wenjie Ruan

Papers from Rüdiger Ehlers's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks (2017) — 695 citations
• Safe Reinforcement Learning via Shielding (2017) — 968 citations