10 citations · 16 across the 10 of their papers we have counts for
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cs.AI2026
Anchor Divergence for Semantic Geometry in Contrastive Learning
Akash Kannan, Kiho Park, Victor Veitch
This paper concerns how semantic context determines geometry in learned vector representations. Similarity is typically measured using cosine similarity, which provides a single fi…
stat.ML2026
Optimization Dynamics Imprint Semantic Specificity in Contrastive Embedding Norms
Ziwei Su, Junyu Ren, Victor Veitch
Contrastive embedding models trained with scale-invariant losses are typically paired with distance metrics like cosine similarity, effectively ignoring embedding magnitudes. Howev…
cs.LG2026
The Information Geometry of Softmax: Probing and Steering
Kiho Park, Todd Nief, Yo Joong Choe +1
This paper concerns the question of how AI systems encode semantic structure into the geometric structure of their representation spaces. The motivating observation is that the nat…