3 citations · 7 across the 5 of their papers we have counts for
5 papers
Bayesian SegNet for Semantic Segmentation with Improved Interpretation of Microstructural Evolution During Irradiation of Materials
Marjolein Oostrom, Alex Hagen, Nicole LaHaye +1
Understanding the relationship between the evolution of microstructures of irradiated LiAlO2 pellets and tritium diffusion, retention and release could improve predictions of triti…
On the Behavior of Audio-Visual Fusion Architectures in Identity Verification Tasks
Daniel Claborne, Eric Slyman, Karl Pazdernik
We train an identity verification architecture and evaluate modifications to the part of the model that combines audio and visual representations, including in scenarios where one…
DBCal: Density Based Calibration of classifier predictions for uncertainty quantification
Alex Hagen, Karl Pazdernik, Nicole LaHaye +1
Measurement of uncertainty of predictions from machine learning methods is important across scientific domains and applications. We present, to our knowledge, the first such techni…
Accelerated Computation of a High Dimensional Kolmogorov-Smirnov Distance
Alex Hagen, Shane Jackson, James Kahn +4
Statistical testing is widespread and critical for a variety of scientific disciplines. The advent of machine learning and the increase of computing power has increased the interes…
NukeLM: Pre-Trained and Fine-Tuned Language Models for the Nuclear and Energy Domains
Lee Burke, Karl Pazdernik, Daniel Fortin +3
Natural language processing (NLP) tasks (text classification, named entity recognition, etc.) have seen revolutionary improvements over the last few years. This is due to language…