Roxana Pamfil

International Conference on Artificial Intelligence and Statistics · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Roxana Pamfil trusts overall

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

1. David Maxwell Chickering
2. Lutz Kilian
3. Xun Zheng
4. Aapo Hyvärinen
5. Peter Spirtes
6. Jorge Nocedal
7. Kevin P. Murphy
8. Shohei Shimizu
9. Albert-László Barabási
10. Selva Demiralp

Papers from Roxana Pamfil's perspective

Ordered by how strongly the researchers Roxana Pamfil trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Optimal Structure Identification With Greedy Search
8. Attention is All you Need (Neural Information Processing Systems)
9. GENERATIVE ADVERSARIAL NETS
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• DYNOTEARS: Structure Learning from Time-Series Data (2020) — 311 citations