K. Cranmer

Sampling QCD field configurations with gauge-equivariant flow models

2022 · arXiv (Cornell University)

Machine learning methods based on normalizing flows have been shown to address important challenges, such as critical slowing-down and topological freezing, in the sampling of gauge field configurations in simple lattice field theories. A critical …

Semi-parametric $γ$-ray modeling with Gaussian processes and variational inference

2020 · arXiv (Cornell University)

Mismodeling the uncertain, diffuse emission of Galactic origin can seriously bias the characterization of astrophysical gamma-ray data, particularly in the region of the Inner Milky Way where such emission can make up over 80% of …