Flatiron Institute
Author in the following contributions
- Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets
- Machine learning cosmology from void properties
- Before real data: pressing graph neural networks to do field-level simulation-based inference with galaxies
- Improving astrophysical scaling relations with machine learning