Kjong-Van Lehmann

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 7 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kjong-Van Lehmann trusts

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

  1. Marco Cuturi (in Computer Vision and Pattern Recognition)

Papers from Kjong-Van Lehmann's perspective

Ordered by how strongly the researchers Kjong-Van Lehmann 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. From the Cover: Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
  8. The Sequence Alignment/Map format and SAMtools (Bioinform.)
  9. RECURRENT MUTATIONS IN THE U2AF1 SPLICING FACTOR IN MYELODYSPLASTIC SYNDROMES (Nature Genetics)
  10. TOPP - the OpenMS proteomics pipeline (Bioinform.)

Their papers