2 papers
stat.ML2025
Consistency of Feature Attribution in Deep Learning Architectures for Multi-Omics
Daniel Claborne, Javier Flores, Samantha Erwin +4
Machine and deep learning have grown in popularity and use in biological research over the last decade but still present challenges in interpretability of the fitted model. The dev…
cs.LG2023
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…