21 citations · 23 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 21 cited
Loss Landscapes of Regularized Linear Autoencoders
Daniel Kunin, Jonathan M. Bloom, Aleksandrina Goeva +1
Autoencoders are a deep learning model for representation learning. When trained to minimize the distance between the data and its reconstruction, linear autoencoders (LAEs) learn…
math.OC2016★ 2 cited
Optimization-based Calibration of Simulation Input Models
Aleksandrina Goeva, Henry Lam, Huajie Qian +1
Studies on simulation input uncertainty often built on the availability of input data. In this paper, we investigate an inverse problem where, given only the availability of output…