Bastian Bohn

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Statistical and Nonlinear Physics — 15 citations into it
• AI for Physical Sciences — 12 citations into it
• Molecular Biology — 12 citations into it
• Materials Chemistry — 6 citations into it
• Numerical Methods & Scientific Computing — 6 citations into it

Whom Bastian Bohn trusts overall

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

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

Papers from Bastian Bohn's perspective

Ordered by how strongly the researchers Bastian Bohn 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. 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. 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