Author

M. K. Moore

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#machine learning Preprint Oct 2026

Mu-DisCoCat: A Variational Pipeline for Compositional Generalization on Quantum Processors

Achieving compositional concept generalization (CoCoGen), the ability to understand novel situations by recombining learned primitives, remains a fundamental challenge in artificial intelligence. Compositional semantic models such as Compositional Distributional Semantics (DisCoCat) offer solutions by generalising vect...

Mina Abbaszadeh, M. K. Moore, Raem Haq et al. · 0 citations

Preprint Aug 2026

Quantum Models with Multi-Stage Training for Compositional Concept Generalization

Compositional Concept Generalization (CoCoGen), the ability to systematically recombine learned primitives in novel contexts, is a key challenge for multimodal learning. In this work, we provide a solution using a compositional model of meaning that separates nouns from relations and uses tensors and variational quantu...

Mina Abbaszadeh, M. K. Moore, M. Sadrzadeh et al. · 1 citation