Feb 14, 2022 · An approach to the statistics of matrices that are generated in type-driven distributional semantics, based on permutation invariant polynomial functions.

Sep 26, 2023 · LMT is based on permutation invariant polynomial functions of matrices, which are regarded as the key observables encoding the significant ...

Feb 14, 2022 · In this paper we generalize the previous results on the approximate Gaussianity of matrix distributions arising from compositional ...

Permutation invariant Gaussian matrix models were recently developed for applications in computational linguistics. A 5-parameter family of models was ...

The Linguistic Matrix Theory programme introduced by Kartsaklis, Ramgoolam and Sadrzadeh is an approach to the statistics of matrices that are generated in ...

Permutation invariant matrix statistics and computational language tasks. MA Huber, A Correia, S Ramgoolam, M Sadrzadeh. arXiv preprint arXiv:2202.06829, 2022.

Aug 8, 2024 · We construct an ensemble of correlation matrices from high-frequency foreign exchange market data, with one matrix for every day for 446 days.

Permutation invariant matrix statistics and computational language tasks. #16. Manuel Accettulli Huber(. Queen Mary, U. of London (main). ) ,. Adriana Correia ...

Permutation invariant Gaussian matrix models were recently developed for applications in computational linguistics. A 5-parameter family of models was solved.

Permutation invariant matrix statistics and computational language tasks. MA Huber, A Correia, S Ramgoolam, M Sadrzadeh. arXiv preprint arXiv:2202.06829, 2022.