2 papers
cs.LG2025
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence
Berfin ÅimÅek, Amire Bendjeddou, Daniel Hsu
This work focuses on the gradient flow dynamics of a neural network model that uses correlation loss to approximate a multi-index function on high-dimensional standard Gaussian dat…
math.CO2025
Lorentzian polynomials and the independence sequences of graphs
Amire Bendjeddou, Leonard Hardiman
We study the multivariate independence polynomials of graphs and the log-concavity of the coefficients of their univariate restrictions. Let be the operator defined on si…