The TeamPCP hacking group continues its supply-chain rampage, now compromising the massively popular "LiteLLM" Python package on PyPI and claiming to have stolen data from hundreds of thousands of ...
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Abstract: Gas distribution mapping (GDM) refers to the task of mapping the gas concentrations of an airborne chemical over a region of interest. A mobile robot equipped with a gas sensor can be used ...
This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...
Our code is tested with Python 3.8 with CUDA 12.4. Optimized the CUDA rasterizer for faster training and rendering while maintaining equivalent quality (PSNR within ±0.1 dB). Faster training across ...
Gaussian Splatting is a cutting-edge 3D representation technique that models a scene as a set of learnable 3D Gaussian primitives. Each Gaussian defines a point in space with position, color, opacity, ...
ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
Abstract: Gaussian Process Regression (GPR) is a machine learning technique that, besides predicting certain target values, also quantifies their uncertainty. With that, GPR is increasingly gaining ...
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