Abstract: We propose a neural network that is simple to understand, easy to implement and deploy, called Simple-FPN. This network is mainly used to detect and locate anomaly in images. The neural ...
Abstract: Ordered statistics decoding has been instrumental in addressing decoding failures that persist after normalized min-sum decoding in short low-density parity-check codes. Despite its benefits ...
This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...
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