Megna Shah — accepted AI-conference papers

2025

Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side Information

Timofey Efimov, Harry Dong, Megna Shah, Jeff P. Simmons, Sean Donegan, Yuejie Chi

ICASSP 2025accepted

Diffusion models have found phenomenal success as expressive priors for solving inverse problems, but their extension beyond natural images to more structured scientific domains remains limited. Motivated by applications in materials science, we aim to reduce the number of measurements required from…

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2023

Deep Unfolded Tensor Robust PCA With Self-Supervised Learning

Harry Dong, Megna Shah, Sean Donegan, Yuejie Chi

ICASSP 2023accepted

Tensor robust principal component analysis (RPCA), which seeks to separate a low-rank tensor from its sparse corruptions, has been crucial in data science and machine learning where tensor structures are becoming more prevalent. While powerful, existing tensor RPCA algorithms can be difficult to use…

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