Author

Peter K. Koo

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2026

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.

Jessica L. Zhou, Kaeli Rizzo, Trevor A. Christensen et al. · Methods in molecular biology · 0 citations

Review Jul 2026

Toward generalizable and interpretable AI in regulatory genomics

It is suggested that progress requires reframing seq2func models as continually refined systems, in which targeted perturbation experiments, systematic evaluation and iterative model updates are tightly coupled through artificial intelligence-experiment feedback loops, enabling self-improving models that progressively...

Masayuki Nagai, A. E. Murphy, Kaeli Rizzo et al. · Nature Genetics · 2 citations