2 papers
cs.LG2020
Avoiding Spurious Local Minima in Deep Quadratic Networks
Abbas Kazemipour, Brett W. Larsen, Shaul Druckmann
Despite their practical success, a theoretical understanding of the loss landscape of neural networks has proven challenging due to the high-dimensional, non-convex, and highly non…
math.ST2018
Compressed Sensing Beyond the IID and Static Domains: Theory, Algorithms and Applications
Abbas Kazemipour
Sparsity is a ubiquitous feature of many real world signals such as natural images and neural spiking activities. Conventional compressed sensing utilizes sparsity to recover low d…