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Peter Xiangyuan Ma

1 accepted papers

2025

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data

ICLR 2025poster

The site conditions that make astronomical observatories in space and on the ground so desirable---cold and dark---demand a physical remoteness that leads to limited data transmission capabilities. Such transmission limitations directly bottleneck the amount of data acquired and in an era of costly…