3 papers
cs.LG2026
Universal Approximation of Operators with Transformers and Neural Integral Operators
Emanuele Zappala, Maryam Bagherian
We study the universal approximation properties of transformers and neural integral operators for operators in Banach spaces. In particular, we show that the transformer architectu…
quant-ph2026
Axiomatic Foundation of Quantum-Inspired Distance Metrics
Maryam Bagherian
We develop a comprehensive axiomatic framework for quantum-inspired distance metrics on projective Hilbert spaces, providing a unified foundation that organizes and generalizes exi…
cs.LG2026
No-Rank Tensor Decomposition Using Metric Learning
Maryam Bagherian
Tensor decomposition of high-dimensional data often struggles to capture semantically or physically meaningful structures, particularly when relying on reconstruction objectives an…