Lukasz Struski

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it

Whom Lukasz Struski trusts

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

1. Yoon Kim (in Artificial Intelligence)

Papers from Lukasz Struski's perspective

Ordered by how strongly the researchers Lukasz Struski trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gated Graph Sequence Neural Networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. The Graph Neural Network Model
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Neural Message Passing for Quantum Chemistry (International Conference on Machine Learning)

Their papers

• Spatial Graph Convolutional Networks (2020) — 115 citations
• Geometric Graph Convolutional Neural Networks (2019) — 10 citations