Advancements in synthetic data generation have made it a viable solution for applications in various fields, such as finance, biomedical research, and data science. Synthetic data is generated ...

Abstract: We present an importance sampling procedure for the estimation of multifactor portfolio credit risk for the t -copula model, i.e, the case where the risk factors have the multivariate t ...

Abstract: In the wake of Big Data, traditional Machine Learning techniques are now often integrated in the clinical workflow. Despite more capable, Deep Learning methods are not equally accepted given ...

This repository contains the official authors implementation associated with the paper "3D Gaussian Splatting for Real-Time Radiance Field Rendering", which can be ...