activity
20192026
most citedFIMP: Foundation Model-Informed Message Passing for Graph Neural Networks

1 citations · 1 across the 7 of their papers we have counts for

collaborators

8 papers

math.NA2026

Coupled Tensor-Tensor Completion Method with Applications in Drug Repurposing

Maryam Bagherian, Albert Hung, Ivo Dinov +1

Many biomedical challenges can be posed as tensor completion problems where the observed entries of a multidimensional array (a tensor) are used to impute the missing values. In su…

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.LG2025

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…

cs.LG2024

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…

cs.LG2022★ 1 cited

FIMP: Foundation Model-Informed Message Passing for Graph Neural Networks

Syed Asad Rizvi, Nazreen Pallikkavaliyaveetil, David Zhang +15

Foundation models have achieved remarkable success across many domains, relying on pretraining over vast amounts of data. Graph-structured data often lacks the same scale as unstru…

math.OC2022

A Bilevel Optimization Method for Tensor Recovery Under Metric Learning Constraints

Maryam Bagherian, Davoud A. Tarzanagh, Ivo Dinov +1

Tensor completion and tensor decomposition are important problems in many domains. In this work, we leverage the connection between these problems to learn a distance metric that i…

cond-mat.mes-hall2019

Field Quantization for Radiative Decay of Plasmons in Finite and Infinite Geometries

Maryam Bagherian

We investigate field quantization in high-curvature geometries. The models and calculations can help with understanding the elastic and inelastic scattering of photons and electron…

cond-mat.mes-hall2019

General Approach to Study Geometric Effects on Classical & Quantum Fields & Eigenmodes of Particles with Finite & Infinite Extend for Applications in Plasmonics & Scanning Probe Microscopy

Maryam Bagherian

This manuscript provides a general approach to the investigation of field quantization in high-curvature geometries. The models and calculations can help with understanding the ela…