Ribana Roscher

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 178 citations into it
• Computer Vision and Pattern Recognition — 71 citations into it
• Probabilistic & Bayesian Methods — 52 citations into it
• Safety, Robustness & Interpretability — 35 citations into it
• Statistical and Nonlinear Physics — 23 citations into it
• Statistics and Probability — 18 citations into it
• Molecular Biology — 15 citations into it
• AI for Physical Sciences — 12 citations into it

Whom Ribana Roscher trusts overall

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

1. Yann LeCun
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Maizar Raissi
6. Lei Wang
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Radford M. Neal
10. L. Eon Bottou

Papers from Ribana Roscher's perspective

Ordered by how strongly the researchers Ribana Roscher 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Explainable Machine Learning for Scientific Insights and Discoveries (2019) — 856 citations
• A survey of uncertainty in deep neural networks (2021) — 1,852 citations