Phase Retrieval: From Computational Imaging to Machine Learning
Optimal denoising of rotationally invariant rectangular matrices
Phase retrieval in high dimensions: Statistical and computational phase transitions
The spiked matrix model with generative priors
High-temperature expansions and message passing algorithms
Quantum Monte Carlo algorithm for out-of-equilibrium Green's functions at long times
The committee machine: computational to statistical gaps in learning a two-layers neural network