Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

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 ...

(a) Disease progression can be classified into three states: the normal stage, pre-disease stage and disease stage, with the pre-disease stage representing a critical threshold just before the onset ...

First of all, thank you for your contribution! I'm trying out few things with your repository and it works great. In diffusion/gaussian_diffusion.py there is the below function ddim_deviation_sample.

NVIDIA introduces vk_gaussian_splatting, a Vulkan-based sample for real-time rendering of complex 3D scenes using Gaussian splatting, enhancing gaming and VR applications. NVIDIA has announced a ...

Using the physics picture developed from the ASDEX Upgrade experimental results, the route to the QCE regime in JET reported here is following closely the approach that was successful in ASDEX Upgrade ...

This article studies the dynamics of the mean-field approximation of continuous random networks. These networks are stochastic integrodifferential equations driven by Gaussian noise. The kernels in ...

Abstract: Gaussian blur technology has been widely used in computer graphics and vision. Although the traditional Gaussian blur method can achieve the blurring effect of the image, it has high ...