86 citations · 433 across the 35 of their papers we have counts for
6 papers · 1 filter
Adaptive Group Testing with Mismatched Models
Mingzhou Fan, Byung-Jun Yoon, Francis J. Alexander +2
Accurate detection of infected individuals is one of the critical steps in stopping any pandemic. When the underlying infection rate of the disease is low, testing people in groups…
Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning
Omar Maddouri, Xiaoning Qian, Francis J. Alexander +2
Classification has been a major task for building intelligent systems as it enables decision-making under uncertainty. Classifier design aims at building models from training data…
Optimal Decision Making in High-Throughput Virtual Screening Pipelines
Hyun-Myung Woo, Xiaoning Qian, Li Tan +4
The need for efficient computational screening of molecular candidates that possess desired properties frequently arises in various scientific and engineering problems, including d…
SimCD: Simultaneous Clustering and Differential expression analysis for single-cell transcriptomic data
Seyednami Niyakan, Ehsan Hajiramezanali, Shahin Boluki +2
Single-Cell RNA sequencing (scRNA-seq) measurements have facilitated genome-scale transcriptomic profiling of individual cells, with the hope of deconvolving cellular dynamic chang…
Geometric Affinity Propagation for Clustering with Network Knowledge
Omar Maddouri, Xiaoning Qian, Byung-Jun Yoon
Clustering data into meaningful subsets is a major task in scientific data analysis. To date, various strategies ranging from model-based approaches to data-driven schemes, have be…
Contextual Dropout: An Efficient Sample-Dependent Dropout Module
Xinjie Fan, Shujian Zhang, Korawat Tanwisuth +2
Dropout has been demonstrated as a simple and effective module to not only regularize the training process of deep neural networks, but also provide the uncertainty estimation for…