Zoë Steier

Artificial Intelligence · 2021

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

Subfields

• Artificial Intelligence — 9 citations into it

Whom Zoë Steier trusts overall

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

1. Diederik P. Kingma
2. Yoav Benjamini
3. Leland McInnes
4. Pierre-Alexandre Mattei
5. Andrew Gelman
6. Brian L. Hie
7. Volodymyr Kuleshov

Papers from Zoë Steier's perspective

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

1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
2. Importance Weighted Autoencoders
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Domain-Adversarial Training of Neural Networks
9. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
10. Long Short-Term Memory

Their papers

• Joint probabilistic modeling of single-cell multi-omic data with totalVI (2021) — 513 citations