Giulia Luise

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Optimization & Training — 9 citations into it

Whom Giulia Luise trusts overall

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

1. Marco Cuturi
2. G. Peyr'e
3. Aude Genevay
4. Francis R. Bach
5. Simon Lacoste-Julien
6. David Arthur
7. Krikamol Muandet
8. Julien Rabin
9. Kenji Fukumizu
10. Jean-David Benamou

Who trusts Giulia Luise overall

1. Thomas Kerdreux

Papers from Giulia Luise's perspective

Ordered by how strongly the researchers Giulia Luise 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. GENERATIVE ADVERSARIAL NETS
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm (2019) — 71 citations