4 citations · 6 across the 4 of their papers we have counts for
4 papers
High Noise Scheduling is a Must
Mahmut S. Gokmen, Cody Bumgardner, Jie Zhang +2
Consistency models possess high capabilities for image generation, advancing sampling steps to a single step through their advanced techniques. Current advancements move one step f…
Multi-Modal Machine Learning Framework for Automated Seizure Detection in Laboratory Rats
Aaron Mullen, Samuel E. Armstrong, Jasmine Perdeh +3
A multi-modal machine learning system uses multiple unique data sources and types to improve its performance. This article proposes a system that combines results from several type…
CLASSify: A Web-Based Tool for Machine Learning
Aaron D. Mullen, Samuel E. Armstrong, Jeff Talbert +1
Machine learning classification problems are widespread in bioinformatics, but the technical knowledge required to perform model training, optimization, and inference can prevent r…
Local Large Language Models for Complex Structured Medical Tasks
V. K. Cody Bumgardner, Aaron Mullen, Sam Armstrong +2
This paper introduces an approach that combines the language reasoning capabilities of large language models (LLMs) with the benefits of local training to tackle complex, domain-sp…