Md Shahriar Rahim Siddiqui — accepted AI-conference papers

2026

Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields

Md Shahriar Rahim Siddiqui, Moshe Eliasof, Eldad Haber

AAAI 2026technical

Flow matching casts sample generation as learning a continuous-time velocity field that transports noise to data. Existing flow matching networks typically predict each point

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2025

Learning Regularization for Graph Inverse Problems

Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schönlieb, Eldad Haber

AAAI 2025technical

In recent years, Graph Neural Networks (GNNs) have been utilized for various applications ranging from drug discovery to network design and social networks. In many applications, it is impossible to observe some properties of the graph directly; instead, noisy and indirect measurements of these prop…

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