research
∙
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...
share
research
∙
06/21/2023
Hierarchical Neural Simulation-Based Inference Over Event Ensembles
When analyzing real-world data it is common to work with event ensembles...
research
∙
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...
research
∙
08/26/2022
Uncovering dark matter density profiles in dwarf galaxies with graph neural networks
Dwarf galaxies are small, dark matter-dominated galaxies, some of which ...
research
∙
03/15/2022
Machine Learning and Cosmology
Methods based on machine learning have recently made substantial inroads...
research
∙
10/13/2021
A neural simulation-based inference approach for characterizing the Galactic Center γ-ray excess
The nature of the Fermi gamma-ray Galactic Center Excess (GCE) has remai...
research
∙
10/04/2021
Inferring dark matter substructure with astrometric lensing beyond the power spectrum
Astrometry – the precise measurement of positions and motions of celesti...
research
∙
10/20/2020
Semi-parametric γ-ray modeling with Gaussian processes and variational inference
Mismodeling the uncertain, diffuse emission of Galactic origin can serio...
research
∙
09/04/2019