Abstract: Hyperparameters in machine learning are those variables that are set before the training process starts and regulate several aspects of the behavior of the learning algorithm. In contrast to ...

We propose a method to allow precise and extremely fast mesh extraction from 3D Gaussian Splatting (SIGGRAPH 2023). Gaussian Splatting has recently become very popular as it yields realistic rendering ...

Abstract: Hyperparameter optimization plays a key role in the machine learning domain. Its significance is especially pronounced in reinforcement learning (RL), where agents continuously interact with ...