Ella Bingham

Representation & Self-Supervised Learning · with Hyvärinen · 2000

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Ella Bingham trusts overall

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

  1. Daniel D. Lee
  2. Aapo Hyvärinen
  3. Inderjit S. Dhillon
  4. Christian Jutten
  5. Hans-Jürgen Sebastian
  6. S. y

Who trusts Ella Bingham overall

  1. Te-Won Lee
  2. Aiyou Chen
  3. Jani Mäntyjärvi
  4. F. Karimzadeh
  5. Erkki Oja
  6. Michael S. Lewicki
  7. Peter J. Bickel
  8. Sepp Hochreiter
  9. Johan Himberg
  10. S. Esmaeili

Papers from Ella Bingham's perspective

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

  1. Learning the parts of objects by non-negative matrix factorization
  2. Algorithms for Non-negative Matrix Factorization
  3. Fast and robust fixed-point algorithms for independent component analysis
  4. Co-clustering documents and words using bipartite spectral graph partitioning (Knowledge Discovery and Data Mining)
  5. Separation of a mixture of independent signals using time delayed correlations.
  6. Blind separation of sources, Part I" An adaptive algorithm based on neuromimetic architecture
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. GENERATIVE ADVERSARIAL NETS
  9. The Nature of Statistical Learning Theory
  10. Gradient-based learning applied to document recognition

Their papers