Explores the Eigenstate Thermalization Hypothesis in quantum systems, emphasizing the random matrix theory and the behavior of observables in thermal equilibrium.
Covers the AMP algorithm for spiked matrix estimation and its application to low-rank matrix factorization and GLM models.
Explores RRQR, TCS, tradeoffs, accuracy metrics, and low-rank matrix factorization frameworks, emphasizing communication avoidance and recent developments.
Covers image processing techniques including noise addition, filtering, and image enhancement using various filters and tools.
Covers the concept of sparse regression and the use of Gaussian additive noise in the context of MAP estimator and regularization.
