Jana-Rebecca Rehse

Artificial Intelligence · 2016–2025

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Model Architectures — 6 citations into it
• Natural Language Processing — 5 citations into it
• Signal Processing — 5 citations into it

Whom Jana-Rebecca Rehse trusts overall

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

1. Ilya Sutskever
2. Geoffrey E. Hinton
3. David Ruppert
4. J. Urgen Schmidhuber
5. Alex Graves
6. L. V. D. van der Maaten
7. Yoshua Bengio
8. Wojciech Zaremba
9. Andrej Karpathy
10. A. Weijters

Who trusts Jana-Rebecca Rehse overall

1. Hendrik Strobelt

Papers from Jana-Rebecca Rehse's perspective

Ordered by how strongly the researchers Jana-Rebecca Rehse 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. Long Short-Term Memory
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. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Predicting process behaviour using deep learning (2016) — 407 citations
• Detecting Undesired Process Behavior by Means of Retrieval Augmented Generation (2025)