9 citations · 21 across the 14 of their papers we have counts for
6 papers · 1 filter
The anisotropic local law for sample covariance matrices under quadratic-form concentration
Renyuan Ma, Theodor Misiakiewicz
We study sample covariance matrices in the proportional regime . The columns $ \m…
Generalization, memorization, and overfitting for diffusion models trained in the lazy high-dimensional regime
Hugo Latourelle-Vigeant, Sinho Chewi, Aram-Alexandre Pooladian +2
Modern score-based generative models have achieved remarkable empirical success in high-dimensional tasks such as image, audio, and video synthesis. These models reduce distributio…
The sharp SAT/UNSAT phase transition in random ellipsoid fitting
Theodor Misiakiewicz, Garrett G. Wen
Let be independent standard Gaussian vectors in . An \emph{ellipsoid fit} is a matrix such that for every , so t…
Dynamical mean-field limit and replica-symmetric free energy for the orthogonally-invariant SK model
Zhou Fan, Theodor Misiakiewicz, Leda Wang +1
We study a class of diffusion processes on interacting through a symmetric matrix . When eigenvectors of are Haar-uniform on the orth…
Positive Distribution Shift as a Framework for Understanding Tractable Learning
Marko Medvedev, Idan Attias, Elisabetta Cornacchia +3
We study a setting where the goal is to learn a target function f(x) with respect to a target distribution D(x), but training is done on i.i.d. samples from a different training di…
Statistical-Computational Trade-offs in Learning Multi-Index Models via Harmonic Analysis
Hugo Latourelle-Vigeant, Theodor Misiakiewicz
We study the problem of learning multi-index models (MIMs), where the label depends on the input only through an unknown -dimensional…