Arthur Feeney — accepted AI-conference papers

2026

History-Bootstrapped Flow Matching for Inverse Boiling Reconstruction

Xianwei Zou, Sheikh Md Shakeel Hassan, Arthur Feeney, Aparna Chandramowlishwaran

ICML 2026poster

Reconstructing spatiotemporal fields from partial observations is fundamental to scientific inference, from inferring atmospheric states from satellite data to recovering fluid states from imaging. When observations are incomplete, the inverse problem is fundamentally ill-posed: even when the underl…

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2023

BubbleML: A Multiphase Multiphysics Dataset and Benchmarks for Machine Learning

Sheikh Md Shakeel Hassan, Arthur Feeney, Akash Dhruv, Jihoon Kim, Youngjoon Suh, Jaiyoung Ryu +2

NeurIPS 2023spotlight

In the field of phase change phenomena, the lack of accessible and diverse datasets suitable for machine learning (ML) training poses a significant challenge. Existing experimental datasets are often restricted, with limited availability and sparse ground truth, impeding our understanding of this co…

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