Maria-Irina Nicolae

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 67 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 124 citations into it; #10,258 of 35,345 by trust here, #11,921 by citations
• Safety, Robustness & Interpretability — 119 citations into it; #693 of 2,251 by trust here, #1,312 by citations
• Computer Vision and Pattern Recognition — 41 citations into it
• Signal Processing — 31 citations into it; #2,009 of 7,572 by trust here, #2,343 by citations
• Probabilistic & Bayesian Methods — 17 citations into it
• Optimization & Training — 8 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Maria-Irina Nicolae trusts overall

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

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

Who trusts Maria-Irina Nicolae overall

1. David Stutz
2. Nicholas Carlini
3. Xuanqing Liu
4. Bryant Chen
5. Sebastian Raschka
6. Haifeng Qian
7. Pin-Yu Chen
8. Huan Zhang
9. Ali Shafahi
10. Matthias Hein

Papers from Maria-Irina Nicolae's perspective

Ordered by how strongly the researchers Maria-Irina Nicolae 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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

• Adversarial Phenomenon in the Eyes of Bayesian Deep Learning (2017) — 42 citations
• Efficient Defenses Against Adversarial Attacks (2017) — 315 citations
• Adversarial Robustness Toolbox v1.0.0 (2018) — 573 citations
• Adversarial Robustness Toolbox v0.2.2 (2018) — 59 citations