2 citations · 2 across the 2 of their papers we have counts for
3 papers
A Renderer-Enabled Framework for Computing Parameter Estimation Lower Bounds in Plenoptic Imaging Systems
Abhinav V. Sambasivan, Liam J. Coulter, Richard G. Paxman +1
This work focuses on assessing the information-theoretic limits of scene parameter estimation in plenoptic imaging systems. A general framework to compute lower bounds on the param…
Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing
Mohammadreza Soltani, Swayambhoo Jain, Abhinav Sambasivan
Recently, Generative Adversarial Networks (GANs) have emerged as a popular alternative for modeling complex high dimensional distributions. Most of the existing works implicitly as…
Minimax Lower Bounds for Noisy Matrix Completion Under Sparse Factor Models
Abhinav V. Sambasivan, Jarvis D. Haupt
This paper examines fundamental error characteristics for a general class of matrix completion problems, where the matrix of interest is a product of two a priori unknown matrices,…