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Allen Chang

2 accepted papers

2024

Quality-Diversity Generative Sampling for Learning with Synthetic Data

AAAI 2024technical

Generative models can serve as surrogates for some real data sources by creating synthetic training datasets, but in doing so they may transfer biases to downstream tasks. We focus on protecting quality and diversity when generating synthetic training datasets. We propose quality-diversity generativ…

2023

Removing Radio Frequency Interference From Auroral Kilometric Radiation With Stacked Autoencoders

ICASSP 2023accepted

Radio frequency data in astronomy enable scientists to analyze astrophysical phenomena. However, these data can be corrupted by radio frequency interference (RFI) that limits the observation of underlying natural processes. In this study, we extend recent developments in deep learning algorithms to…

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