R. Anno
Immunology · 2013–2019
A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Immunology — 34 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Geometry and Topology — 18 citations into it
- Representation & Self-Supervised Learning — 18 citations into it; #2,605 of 3,145 by trust here, #2,805 by citations
- Artificial Intelligence — 13 citations into it
- Mathematical Physics — 13 citations into it
- Oncology — 8 citations into it
- Statistical and Nonlinear Physics — 7 citations into it
Whom R. Anno trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- V. Drinfeld
- Goncalo Tabuada
- V. Lunts
- P. Seidel
- L. V. D. van der Maaten
- Dmitri Orlov
- Richard P. Thomas
- Anna C. Belkina
- George C. Linderman
- T. Bridgeland
Who trusts R. Anno overall
Papers from R. Anno's perspective
Ordered by how strongly the researchers R. Anno trusts endorse each paper. Same corpus, a different order for every researcher.
- Visualizing Data using t-SNE
- Accelerating t-SNE using tree-based algorithms
- Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum
- Braid group actions on derived categories of coherent sheaves
- Gradient-based learning applied to document recognition
- Clustering with t-SNE, provably
- How to Use t-SNE Effectively
- DG quotients of DG categories
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- T-SNE-CUDA: GPU-Accelerated T-SNE and its Applications to Modern Data
Their papers
- Automated Optimal Parameters for T-Distributed Stochastic Neighbor Embedding Improve Visualization and Allow Analysis of Large Datasets (2018) — 18 citations
- Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets (2019) — 553 citations
- Spherical DG-functors (2013) — 125 citations