Florian Becker

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Materials Chemistry — 16 citations into it; #6,772 of 11,513 by trust here, #9,513 by citations
• Model Architectures — 14 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Computational Theory and Mathematics — 10 citations into it; #8,941 of 12,182 by trust here, #5,954 by citations
• Optimization & Training — 8 citations into it
• Computational Chemistry & Drug Discovery — 6 citations into it
• Graph Learning — 6 citations into it

Whom Florian Becker trusts overall

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

1. Stefan Chmiela
2. Johannes Klicpera
3. Soham De
4. Ilya Loshchilov
5. Peter J. Kostelec
6. Risi Kondor
7. Geoffrey E. Hinton
8. Taco Cohen
9. Alex Krizhevsky
10. Diederik P. Kingma

Who trusts Florian Becker overall

1. Yi Liao
2. Tess E. Smidt
3. Ilyes Batatia
4. Yuanqi Du
5. Yidong Liao
6. Johannes Brandstetter
7. Tian Xie
8. Simon L. Batzner
9. Zuobai Zhang

Papers from Florian Becker's perspective

Ordered by how strongly the researchers Florian Becker 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. Attention is All you Need (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• GemNet: Universal Directional Graph Neural Networks for Molecules (2021) — 633 citations