Sabrina Jaeger

Computational Theory and Mathematics · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 20 citations into it; #9,724 of 12,182 by trust here, #8,294 by citations
• Molecular Biology — 15 citations into it; #12,287 of 17,773 by trust here, #15,531 by citations
• Materials Chemistry — 10 citations into it; #7,738 of 11,513 by trust here, #10,540 by citations
• Pharmacology — 5 citations into it

Whom Sabrina Jaeger trusts overall

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

1. Vinod Nair
2. Tianqi Chen
3. Ehsaneddin Asgari
4. Fangping Wan
5. Tomas Mikolov
6. Geoffrey E. Hinton
7. Marcus Olivecrona
8. Garrett B. Goh
9. Albert J. Kooistra
10. Carlos Guestrin

Who trusts Sabrina Jaeger overall

1. Jae Yong Ryu
2. Carl N. Edwards
3. Hyun Uk Kim
4. Weihua Hu
5. Tuan Manh Lai

Papers from Sabrina Jaeger's perspective

Ordered by how strongly the researchers Sabrina Jaeger 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Rectified Linear Units Improve Restricted Boltzmann Machines
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Mol2vec: Unsupervised Machine Learning Approach with Chemical Intuition (2018) — 650 citations