Abstract: Active power filters (APFs) play a crucial role in improving power quality in grid networks. They mitigate load's harmonic and reactive currents, ensuring unity power factor grid operation ...

Transformer-based models have emerged as one of the most widely used architectures for natural language processing, natural language generation, and image generation. The size of the state-of-the-art ...

Full-stack developer, passionate about AI and learning new things. Powered by coffee and curiosity.

Abstract: Guessing random additive noise decoding (GRAND) has enabled the practical implementation of maximum likelihood (ML) or near-ML decoding, shifting the paradigm of code-specific decoder design ...

First, please organize your datasets following the directory structure of the example dataset. Note that low-dose data is for testing purposes, IPDM training only requires NDCT data and is an ...

We present Representation Autoencoders (RAE), a class of autoencoders that utilize pretrained, frozen representation encoders such as DINOv2 and SigLIP2 as encoders with trained ViT decoders. RAE can ...