A. Serban

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 177 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 148 citations into it
• Safety, Robustness & Interpretability — 128 citations into it
• Computer Vision and Pattern Recognition — 50 citations into it
• Signal Processing — 41 citations into it
• Hardware and Architecture — 17 citations into it
• Molecular Biology — 15 citations into it
• Computer Networks and Communications — 13 citations into it
• Electrical and Electronic Engineering — 8 citations into it

Whom A. Serban trusts overall

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

1. Ian J. Goodfellow
2. Nicolas Papernot
3. Geoffrey E. Hinton
4. Nicholas Carlini
5. Alex Krizhevsky
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ilya Sutskever
9. Christian Szegedy
10. Yann LeCun

Papers from A. Serban's perspective

Ordered by how strongly the researchers A. Serban 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Repulsive Prototypes for Adversarial Robustness (2021) — 3 citations
• Adversarial Examples on Object Recognition (2020) — 85 citations