4 papers
Statistical Properties of Training & Generalization
Itay Lavie, Noam Levi, Yonatan Kahn
Deep learning has managed to evade numerous intuitions from classical statistics to achieve unprecedented performance on a number of real-world tasks. In this article, we investiga…
Generative models on phase space
Zachary Bogorad, Ibrahim Elsharkawy, Yonatan Kahn +2
Deep generative models such as diffusion and flow matching are powerful machine learning tools capable of learning and sampling from high-dimensional distributions. They are partic…
Quantum Calculations of the Cavity Shift in Electron Magnetic Moment Measurements
Hannah Day, Roni Harnik, Yonatan Kahn +2
The measurement of the anomalous electron magnetic moment through quantum transitions of a single trapped electron is the most stringent test of quantum field theory. These e…
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation
Ibrahim Elsharkawy, Yonatan Kahn
Estimating physical parameters from data is a crucial application of machine learning (ML) in the physical sciences. However, systematic uncertainties, such as detector miscalibrat…