Testing random outcomes teaches principles that apply wherever fairness matters. Random outcomes shape more of our world than ...

Abstract: Finite time-vertex graph signals (FTVGS) provide an efficient representation for capturing spatio-temporal correlations across multiple data sources on irregular structures. Although ...

A Python-based predictor using z3 to reverse-engineer and predict random values generated by Math.random in V8 with 100% accuracy. This script leverages a series of Math.random() values (min 5) to ...

Bitcoin miners don't solve complex math problems - they guess numbers. While "solving mathematical puzzles" has become a common description of bitcoin mining, the process more closely resembles a ...

Denoising Diffusion Probabilistic Models (DDPMs) have gained great attention in adversarial purification. Current diffusion-based works focus on designing effective condition-guided mechanisms while ...

Department of Information and Computer Sciences, Saitama University, Saitama, Japan Estimating the entropy rate of physical random number generators with uncertainty is crucial for information ...

1 China-Croatia “Belt and Road” Joint Laboratory on Biodiversity and Ecosystem Services, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China 2 Graduate Institute of Statistics & ...

Random sampling is a powerful technique used to analyze data effectively by selecting a representative sample from a larger dataset. Excel provides various ways to generate random samples, making it ...

Abstract: Matrix multiplication is a fundamental building block for large scale computations arising in various applications, including machine learning. There has been significant recent interest in ...