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concept:eckert-pabst-and-endres-2022

Eckert, Pabst, and Endres 2022

Source of the HMM parameters for normal and chronic pain models used in this paper

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Related by similarity (6)

cosine ≥ 0.65 · no typed edge

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

  • Showed word embeddings of visual concept names can be isometrically mapped to image embeddings, and developed framework for efficient concept extraction
  • Example of early modern architecture with too few internal symmetries, creating a feeling of wrongness.
  • Found Rosetta Neurons — neurons activated by same patterns across diverse vision models
  • Swiss university institute where Project Oberon was developed; provided institutional support and environment.
  • Introduced CKA and observed that model alignment increases with model scale and dataset size
  • Showed robust agents learn causal world models; related to PRH claim about convergence to reality model