Markus Kuderer

2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Markus Kuderer trusts overall

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

1. Andrew Y. Ng
2. Brian D. Ziebart
3. Sergey Levine
4. Martin A. Riedmiller
5. Andrew L. Maas
6. Vladlen Koltun
7. Pieter Abbeel
8. Stuart J. Russell
9. Dean A. Pomerleau
10. Geoffrey E. Hinton

Who trusts Markus Kuderer overall

1. Chao Yu
2. Victor Talpaert
3. B. R. Kiran
4. Ibrahim Sobh
5. Edouard Leurent
6. Jiming Liu
7. Ahmed Hussain Qureshi
8. Saurabh Arora
9. Shiva Raj Pokhrel
10. Patrick Mannion

Papers from Markus Kuderer's perspective

Ordered by how strongly the researchers Markus Kuderer 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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Learning driving styles for autonomous vehicles from demonstration (2015) — 460 citations