26 citations · 60 across the 17 of their papers we have counts for
28 papers
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks
Marguerite B. Basta, Sarfaraz Hussein, Hsiang Hsu +1
Lung cancer is the leading cause of cancer related mortality by a significant margin. While new technologies, such as image segmentation, have been paramount to improved detection…
Measuring Information from Moments
Wael Alghamdi, Flavio P. Calmon
We investigate the problem of representing information measures in terms of the moments of the underlying random variables. First, we derive polynomial approximations of the condit…
-Approximate Coded Matrix Multiplication is Nearly Twice as Efficient as Exact Multiplication
Haewon Jeong, Ateet Devulapalli, Viveck R. Cadambe +1
We study coded distributed matrix multiplication from an approximate recovery viewpoint. We consider a system of computation nodes where each node stores of each multipli…
Polynomial Approximations of Conditional Expectations in Scalar Gaussian Channels
Wael Alghamdi, Flavio P. Calmon
We consider a channel where is a random variable satisfying and is an independent standard normal random variable. We show that the minimum…
Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation
Behrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov +2
In this paper, we propose a framework for privacy-preserving approximate near neighbor search via stochastic sparsifying encoding. The core of the framework relies on sparse coding…
Bottleneck Problems: Information and Estimation-Theoretic View
Shahab Asoodeh, Flavio Calmon
Information bottleneck (IB) and privacy funnel (PF) are two closely related optimization problems which have found applications in machine learning, design of privacy algorithms, c…