Jeremy G. Hoskins

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computational Mechanics — 9 citations into it
• Representation & Self-Supervised Learning — 8 citations into it; #1,972 of 3,145 by trust here, #2,012 by citations
• Computational Theory and Mathematics — 7 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Jeremy G. Hoskins trusts overall

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

1. Nathan Halko
2. George C. Linderman
3. L. V. D. van der Maaten
4. Per-Gunnar Martinsson
5. Gal Mishne

Who trusts Jeremy G. Hoskins overall

1. Dmitry Kobak
2. Anna C. Belkina
3. Yingfan Wang
4. Leland McInnes

Papers from Jeremy G. Hoskins's perspective

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

1. Visualizing Data using t-SNE
2. Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions
3. Data structures and algorithms for nearest neighbor search in general metric spaces
4. Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
5. A hierarchical O(N log N) force-calculation algorithm
6. Clustering with t-SNE, provably
7. An Algorithm for the Principal Component Analysis of Large Data Sets
8. How to Use t-SNE Effectively
9. Accelerating t-SNE using tree-based algorithms
10. R: A language and environment for statistical computing.

Their papers

• Fast Interpolation-based t-SNE for Improved Visualization of Single-Cell RNA-Seq Data (2017) — 507 citations
• Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding (2017) — 102 citations