Enhancing Power Generation Forecasting in Smart Grids Using Hybrid Autoencoder Long Short-Term Memory Machine Learning Model Abstract: This study explores the implementation of advanced machine ...

A simple framework for contrastive learning of visual representations. In Proceedings of the 37th International Conference on Machine Learning (ICML'20), Vol. 119.

Uncertainty quantification of machine learning (ML) predictions is of key importance for the widespread adoption of ML-enabled electromagnetic imaging. As ML inference is a predictive process, ...