New method calibrates CNN-GP models for better uncertainty quantification.
problem Current CNN-GP models are miscalibrated, leading to unreliable uncertainty estimates.
method Proposes a novel combination of CNNs and GPs to improve calibration.
result Significantly outperforms previous approaches on calibration while maintaining state-of-the-art performance.