Trevor A. Christensen

Distilling the Knowledge of Ensembles for Uncertainty-Aware Genomic Deep Learning.

This chapter introduces DEGU (Distilling Ensembles for Genomic Uncertainty-aware models), a model-training framework that integrates ensemble learning with knowledge distillation to enhance the robustness and explainability of genomic deep learning predictions.