University of Amsterdam
Auteur des contributions suivantes:
- Truncated Marginal Neural Ratio Estimation with swyft
- Measuring individal dark matter halos in strong lenses with truncated marginal neural ratio estimation
- Marginal likelihood-free cosmological parameter inference from type Ia supernovae
- Towards universal simulation-based inference with TMNRE
- Simulation-based inference of dark matter properties in strong gravitational lenses
- Using Neural Ratio Estimation and Probabilistic Image Segmentation to detect Dark Matter Subhalos
