Felix Kleinert

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Atmospheric Science — 22 citations into it
• Global and Planetary Change — 16 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Felix Kleinert trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yann LeCun
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. J. Urgen Schmidhuber
8. Ruslan Salakhutdinov
9. Ilya Sutskever
10. Radford M. Neal

Papers from Felix Kleinert's perspective

Ordered by how strongly the researchers Felix Kleinert 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. Long Short-Term Memory
5. ImageNet Large Scale Visual Recognition Challenge
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. GENERATIVE ADVERSARIAL NETS
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Can deep learning beat numerical weather prediction? (2021) — 498 citations