Benchmarking Predictive Coding Networks — Made Simple
The paper addresses efficiency and scalability issues in predictive coding networks (PCNs) by introducing a library called PCX. This open-source tool …
Tag: 2025
Variational Bayes Gaussian Splatting: A Bayesian Approach for Continual 3D Learning
VERSES AI Research Blog - "In recent years, computer vision has made remarkable progress in understanding 3D scenes, fueled by innovations like Neural…
Gradient-free variational learning with conditional mixture networks
The study introduces CAVICMN, a gradient-free variational method for training conditional mixture networks (CMNs), enhancing computational efficiency …
Gradient-free variational learning with conditional mixture networks
VERSES AI Research Blog - "Deep Learning (DL), enables many incredible capabilities such as image recognition, natural language processing, and conten…
Achieving Human-Level Atari Gameplay with Object-Centric Priors and Active Inference
VERSES AI Research Blog - "It has been several years since deep reinforcement learning (DRL) algorithms first demonstrated superhuman performance in c…