We hear about "optimization" a lot. Many gamers probably have no idea what it really means to "optimize" a game for a platform, but it relates mostly to the way a game is designed to perform optimally ...
This repository contains a tutorial on how to use hierarchical coarse-grained models and mutli-level Bayesian optimization for molecular discovery. Although the example system is quite simple, the ...
Abstract: Currently, protecting personal privacy through selective encryption of facial images has become a research hotspot. This paper aims to design a new image encryption scheme using chaotic ...
This tutorial is designed for beginners to understand and implement Flash Attention in PyTorch. We follow the structure of the document "From Online Softmax to FlashAttention" by Zihao Ye, explaining ...
Abstract: Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across ...
Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...
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