1 citations · 1 across the 6 of their papers we have counts for
3 papers · 1 filter
ASTROLABE: A 3D Particle-Level Surrogate for Cosmology Simulation with Physical Flow Matching
Ibrahim Elsharkawy, David Curtin, Yonatan Kahn +1
The microphysics of dark matter (DM) is imprinted on cosmological structure across an enormous dynamic range. Nonlinear cosmological observables are most reliably modeled with N-bo…
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…