This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to ...
Abstract: This article introduces a learning-based model predictive control (MPC) framework that leverages Gaussian mixture models (GMMs) to address dynamic system uncertainties effectively. To ...
Abstract: The Variational Inference Gaussian Mixture Model (VI-GMM) has been widely employed in multimode process modeling due to its inherent ability to automatically ascertain the optimal number of ...
The ‘uncanny valley’ is the final frontier for generative video. We have seen AI avatars that can talk, but they often lack the soul of human interaction. They suffer from stiff movements and a lack ...
Optical imaging includes a variety of imaging techniques that rely on illumination light in the ultraviolet, visible and infrared regions of the electromagnetic spectrum. The term typically excludes ...
Minecraft remains one of the best games of all time over a decade on from its release, but spending such a long time in one game could lead to you running out of ideas. We've been there: you've ...
YoNoSplat reconstructs 3D Gaussian splats directly from unposed and uncalibrated images, while flexibly leveraging ground-truth camera poses or intrinsics when available. Our code requires Python ...
A comprehensive repository for fine-tuning the Donut model for document image classification and parsing tasks. This project provides optimized training pipelines using Hugging Face Transformers with ...
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