Ana Lucic

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Safety, Robustness & Interpretability — 18 citations into it
• Signal Processing — 5 citations into it

Whom Ana Lucic trusts overall

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

1. Jerome H. Friedman
2. Chris Russell
3. Diederik P. Kingma
4. Gabriele Tolomei
5. Christian Szegedy
6. Ian J. Goodfellow
7. Amir-Hossein Karimi
8. Geoffrey E. Hinton
9. Trevor J. Hastie
10. Battista Biggio

Papers from Ana Lucic's perspective

Ordered by how strongly the researchers Ana Lucic 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
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

• FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles (2019) — 95 citations
• Explaining Predictions from Tree-based Boosting Ensembles (2019) — 6 citations