Aaron M. Streets

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aaron M. Streets trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)

Papers from Aaron M. Streets's perspective

Ordered by how strongly the researchers Aaron M. Streets 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. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
  4. Massively parallel digital transcriptional profiling of single cells
  5. Batch effects in single-cell RNA sequencing data are corrected by matching mutual nearest neighbours (Nature Biotechnology)
  6. Domain-Adversarial Training of Neural Networks
  7. Large-scale simultaneous measurement of epitopes and transcriptomes in single cells
  8. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  9. Efficient integration of heterogeneous single-cell transcriptomes using Scanorama (Nature Biotechnology)
  10. The Human Cell Atlas

Their papers