Stefan G. Stark

Computer Vision and Pattern Recognition · 2018–2021

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 Stefan G. Stark trusts overall

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

  1. Marco Cuturi
  2. Leland McInnes
  3. Diederik P. Kingma
  4. John Healy

Papers from Stefan G. Stark's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Scikit-learn: Machine Learning in Python
  3. Visualizing Data using t-SNE
  4. Sinkhorn Distances: Lightspeed Computation of Optimal Transport
  5. Stochastic Optimization for Large-scale Optimal Transport
  6. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
  7. CellProfiler: image analysis software for identifying and quantifying cell phenotypes
  8. Topics in Optimal Transportation
  9. Gradient-based learning applied to document recognition
  10. From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

Their papers