Search Results for author:
Found 1 papers, 1 papers with code
Data Compression and Inference in Cosmology with Self-Supervised Machine Learning
The influx of massive amounts of data from current and upcoming cosmological surveys necessitates compression schemes that can efficiently summarize the data with minimal loss of information.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
