2 papers
cs.LG2025
Uncertainty Quantification From Scaling Laws in Deep Neural Networks
Ibrahim Elsharkawy, Yonatan Kahn, Benjamin Hooberman
Quantifying the uncertainty from machine learning analyses is critical to their use in the physical sciences. In this work we focus on uncertainty inherited from the initialization…
hep-ex2024
Measuring the molecular Migdal effect with neutron scattering on diatomic gases
Yonatan Kahn, Jesús Pérez-RÃos
The Migdal effect is a key inelastic signal channel which could be used to detect low-mass dark matter, but it has never been observed experimentally using Standard Model probes. H…