1 citations · 1 across the 3 of their papers we have counts for
3 papers
hep-ph2026
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…
stat.ML2024★ 1 cited
Classifying Overlapping Gaussian Mixtures in High Dimensions: From Optimal Classifiers to Neural Nets
Khen Cohen, Noam Levi, Yaron Oz
We derive closed-form expressions for the Bayes optimal decision boundaries in binary classification of high dimensional overlapping Gaussian mixture model (GMM) data, and show how…
cond-mat.stat-mech2023
The Universal Statistical Structure and Scaling Laws of Chaos and Turbulence
Noam Levi, Yaron Oz
Turbulence is a complex spatial and temporal structure created by the strong non-linear dynamics of fluid flows at high Reynolds numbers. Despite being an ubiquitous phenomenon tha…