Uvini Balasuriya Mudiyanselage — accepted AI-conference papers

2026

Extending Fourier Neural Operators for Modeling Parameterized and Coupled PDEs

Cheng Jing, Uvini Balasuriya Mudiyanselage, Abhishek Verma, Kallol Bera, Shahid Rauf, Kookjin Lee

ICLR 2026poster

Parameterized and coupled partial differential equations (PDEs) are central to modeling phenomena in science and engineering, yet neural operator methods that address both aspects remain limited. We extend Fourier neural operators (FNOs) with minimal architectural modifications along two directions.…

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2025

PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling

Minju Jo, Woojin Cho, Uvini Balasuriya Mudiyanselage, Seungjun Lee, Noseong Park, Kookjin Lee

NeurIPS 2025poster

Scientific machine learning often involves representing complex solution fields that exhibit high-frequency features such as sharp transitions, fine-scale oscillations, and localized structures. While implicit neural representations (INRs) have shown promise for continuous function modeling, capturi…

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