most citedReproducibility, energy efficiency and performance of pseudorandom number generators in machine learning: a comparative study of python, numpy, tensorflow, and pytorch implementations

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cs.PF2025

The influence of the random numbers quality on the results in stochastic simulations and machine learning

Benjamin A. Antunes

Pseudorandom number generators (PRNGs) are ubiquitous in stochastic simulations and machine learning (ML), where they drive sampling, parameter initialization, regularization, and…