🚀 Amazing features specially tailored for decision-making tasks 🍧 Support for multiple advanced diffusion models and network architectures 🧩 Build decoupled modules into integrated pipelines easily ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

For over 5 years, Arthur has been professionally covering video games, writing guides and walkthroughs. His passion for video games began at age 10 in 2010 when he first played Gothic, an immersive ...

For over 5 years, Arthur has been professionally covering video games, writing guides and walkthroughs. His passion for video games began at age 10 in 2010 when he first played Gothic, an immersive ...

Abstract: In this letter, we propose a two-stage method to design finite-length puncturing patterns for LDPC codes with Hadamard constraints. At the first stage, we propose the distribution of ...