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Found 4 papers, 2 papers with code
Autoencoder-based Representation Learning from Heterogeneous Multivariate Time Series Data of Mechatronic Systems
Sensor and control data of modern mechatronic systems are often available as heterogeneous time series with different sampling rates and value ranges.
Uncertainty Calibration Error: A New Metric for Multi-Class Classification
Various metrics have recently been proposed to measure uncertainty calibration of deep models for classification.
Calibration of Model Uncertainty for Dropout Variational Inference
The model uncertainty obtained by variational Bayesian inference with Monte Carlo dropout is prone to miscalibration.
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference
Model uncertainty obtained by variational Bayesian inference with Monte Carlo dropout is prone to miscalibration.
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