Tomasz Danel

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Graph Learning — 29 citations into it

Whom Tomasz Danel trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Matthias Fey
4. Justin Gilmer
5. Yoon Kim
6. Yoshua Bengio
7. Petar Velickovic
8. Alex Krizhevsky
9. Federico Monti
10. Max Welling

Papers from Tomasz Danel's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Mol-CycleGAN: a generative model for molecular optimization (2019) — 305 citations
• Spatial Graph Convolutional Networks (2020) — 115 citations
• Geometric Graph Convolutional Neural Networks (2019) — 10 citations