research
∙
07/06/2023
Analyzing the Performance Portability of Tensor Decomposition
We employ pressure point analysis and roofline modeling to identify perf...
share
research
∙
07/18/2022
Tensor Decompositions for Count Data that Leverage Stochastic and Deterministic Optimization
There is growing interest to extend low-rank matrix decompositions to mu...
research
∙
01/25/2022
Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros
We propose a novel statistical inference methodology for multiway count ...
research
∙
12/02/2020
Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software: Extended Analysis
Tensor decomposition models play an increasingly important role in moder...
research
∙
09/22/2020
Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models
Software flaw detection using multimodal deep learning models has been d...
research
∙
09/09/2020
Multimodal Deep Learning for Flaw Detection in Software Programs
We explore the use of multiple deep learning models for detecting flaws ...
research
∙
06/13/2019
A Review of Machine Learning Applications in Fuzzing
Fuzzing has played an important role in improving software development a...
research
∙
05/17/2011
