Richens & Everitt (2024)

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Antonello & Huth (2024)concept0.679
  Posited that generality of representations rather than particular task explains alignment with biological representations
• Cao & Yamins (2024)concept0.676
  Introduced the Contravariance principle; closely related theoretical foundation for multitask scaling hypothesis
• Kornblith et al. (2019)concept0.675
  Introduced CKA and observed that model alignment increases with model scale and dataset size
• Sorscher et al. (2022)concept0.663
  Showed word embeddings of visual concept names can be isometrically mapped to image embeddings, and developed framework for efficient concept extraction
• Dravid et al. (2023)concept0.661
  Found Rosetta Neurons — neurons activated by same patterns across diverse vision models
• Eckert, Pabst, and Endres 2022concept0.654
  Source of the HMM parameters for normal and chronic pain models used in this paper
• Aghion, Jones & Jones (2017)concept0.652
  Cited for analysis of AI and economic growth relevant to Malthusian dynamics of digital minds