Abstract: Non-intrusive load monitoring (NILM) is designed to disaggregate the total load of electricity used in a household into appliance-level data. Moreover, deep learning (DL) models have been ...
Abstract: We implement transfer learning (TL) to attain efficiency in training and feature extraction by freezing the connection weights of shallow layers of deep learning (DL) models, already trained ...
The RAS library is an open-source implementation of Regional-Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional variability in sampling steps. Unlike ...
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