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08/18/2023
Data Compression and Inference in Cosmology with Self-Supervised Machine Learning
The influx of massive amounts of data from current and upcoming cosmolog...
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08/29/2022
Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimation
Strong gravitational lensing has emerged as a promising approach for pro...
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03/15/2022
Machine Learning and Cosmology
Methods based on machine learning have recently made substantial inroads...
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09/14/2020
Extracting the Subhalo Mass Function from Strong Lens Images with Image Segmentation
Detecting substructure within strongly lensed images is a promising rout...
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07/10/2020
Flow-Based Likelihoods for Non-Gaussian Inference
We investigate the use of data-driven likelihoods to bypass a key assump...
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10/17/2019
