Devin Kreuzer

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #34,625 of 35,345 by trust here, #25,809 by citations
• Graph Learning — 9 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it; #21,086 of 21,575 by trust here, #16,787 by citations
• Materials Chemistry — 7 citations into it; #10,928 of 11,513 by trust here, #10,083 by citations

Whom Devin Kreuzer trusts overall

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

1. Xavier Bresson
2. Vijay Prakash Dwivedi
3. William L. Hamilton
4. Thomas Kipf
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. Max Welling
8. Yann LeCun
9. Weihua Hu
10. Diederik P. Kingma

Who trusts Devin Kreuzer overall

1. Vijay Prakash Dwivedi
2. Dexiong Chen
3. Ladislav Rampášek
4. Chengxuan Ying
5. Anh Tuan Luu
6. Thomas Laurent
7. Leslie O’Bray

Papers from Devin Kreuzer's perspective

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

Their papers

• Rethinking Graph Transformers with Spectral Attention (2021) — 808 citations