many powerful tools for studying irreducible representations of SU(n), including making animations of hadron flavor-state multiplets
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Updated
Jun 17, 2026 - Python
many powerful tools for studying irreducible representations of SU(n), including making animations of hadron flavor-state multiplets
A toolkit that aims to provide several features with regards to special unitary groups, including the generation of matrix representations, decomposition of tensor products and more.
Matrix-valued fast-weight state as a representational medium for language models: measurable rank, super-linear capacity, exact in-context composition, and the measurement methodology behind the results (negative results included).
This course gives a thorough introduction to linear algebra
Code for 'The Gradient Does Not See Rank: Rank-Indifference in Matrix-CODI on ProsQA' (ICML 2026 MI Workshop; arXiv:2609.03090)
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