2026
Making Foundation Models Probabilistic via Singular Value Ensembles
ICML 2026poster
Foundation models have become a dominant paradigm in machine learning, achieving remarkable performance across diverse tasks through large-scale pretraining. However, these models often yield overconfident, uncalibrated predictions. The standard approach to quantifying epistemic uncertainty, trainin…