Anna Saranti

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 80 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Safety, Robustness & Interpretability — 26 citations into it
• Graph Learning — 10 citations into it
• Statistical and Nonlinear Physics — 7 citations into it
• Biophysics — 6 citations into it

Whom Anna Saranti trusts overall

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

1. Grgoire Montavon
2. Geoffrey E. Hinton
3. Ronald J. Williams
4. Yoshua Bengio
5. Richard S. Sutton
6. Judea Pearl
7. Matthew D. Zeiler
8. Yann LeCun
9. Alex Krizhevsky
10. Sebastian Bach

Papers from Anna Saranti's perspective

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

Their papers

• Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI (2021) — 307 citations
• Explainable AI Methods - A Brief Overview (2020) — 389 citations