The purpose of Sparklen package is to provide the Python community with a complete suite of cutting-edge tools specifically tailored for the study of exponential Hawkes processes, with a particular ...
Abstract: Federated learning (FL) is a collaborative machine learning framework that enables multiple clients to jointly train a global model without exposing their local data. However, securely ...
Abstract: In this paper, a digital predistortion (DPD) scheme based on two-dimensional complex-valued spline interpolation for memory polynomial (2D-CSPMP) lookup table (LUT) is proposed, which is ...
This repository provides a Python implementation of Covariate-Adjusted Multidimensional Scaling (MDS), utilizing Maximum Likelihood Estimation (MLE) based on the log-linear model framework originally ...
The global economy has become dependent on the AI industry. Trillions of dollars are being invested into the technology and the infrastructure it relies on; in the final months of 2025, functionally ...