Sandeep Madireddy

Unified Probabilistic Neural Architecture and Weight Ensembling Improves Model Robustness

2022 · arXiv (Cornell University)

Robust machine learning models with accurately calibrated uncertainties are crucial for safety-critical applications. Probabilistic machine learning and especially the Bayesian formalism provide a systematic framework to incorporate robustness through the distributional estimates and reason about …