2 citations · 3 across the 4 of their papers we have counts for
4 papers
Material-Limited Switching in Nanoscale Ferroelectrics
Tony Chiang, John J. Plombon, Megan K. Lenox +8
The ferroelectric switching speed has been experimentally obfuscated by the interaction between the measurement circuit and the ferroelectric switching itself. This has prohibited…
Assessing Generative Models for Structured Data
Reilly Cannon, Nicolette M. Laird, Caesar Vazquez +3
Synthetic tabular data generation has emerged as a promising method to address limited data availability and privacy concerns. With the sharp increase in the performance of large l…
Robust Nonparametric Hypothesis Testing to Understand Variability in Training Neural Networks
Sinjini Banerjee, Reilly Cannon, Tim Marrinan +2
Training a deep neural network (DNN) often involves stochastic optimization, which means each run will produce a different model. Several works suggest this variability is negligib…
Exploring Learned Representations of Neural Networks with Principal Component Analysis
Amit Harlev, Andrew Engel, Panos Stinis +1
Understanding feature representation for deep neural networks (DNNs) remains an open question within the general field of explainable AI. We use principal component analysis (PCA)…