640 citations · 1.3k across the 12 of their papers we have counts for
3 papers · 1 filter
Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software: Extended Analysis
Jeremy M. Myers, Daniel M. Dunlavy, Keita Teranishi +1
Tensor decomposition models play an increasingly important role in modern data science applications. One problem of particular interest is fitting a low-rank Canonical Polyadic (CP…
Using Neural Architecture Search for Improving Software Flaw Detection in Multimodal Deep Learning Models
Alexis Cooper, Xin Zhou, Scott Heidbrink +1
Software flaw detection using multimodal deep learning models has been demonstrated as a very competitive approach on benchmark problems. In this work, we demonstrate that even bet…
Multimodal Deep Learning for Flaw Detection in Software Programs
Scott Heidbrink, Kathryn N. Rodhouse, Daniel M. Dunlavy
We explore the use of multiple deep learning models for detecting flaws in software programs. Current, standard approaches for flaw detection rely on a single representation of a s…