https://arxiv.org/abs/2605.03071v1
[2605.03071v1] A Poisson Process for Submodular Maximization
Abstract page for arXiv paper 2605.03071v1: A Poisson Process for Submodular Maximization
a poisson process2605submodularmaximization
https://www.mdpi.com/2227-7390/9/5/508
A Poisson Process-Based Random Access Channel for 5G and Beyond Networks
The 5th generation (5G) wireless networks propose to address a variety of usage scenarios, such as enhanced mobile broadband (eMBB), massive machine-type...
a poisson processrandom access channel
https://openreview.net/forum?id=A9FUg5vrw7Y6
Poisson Process for Bayesian Optimization | OpenReview
Bayesian Optimization (BO) is a sample-efficient black-box optimizer, and extensive methods have been proposed to build the absolute function response of the...
poisson processbayesian optimizationopenreview
https://www.mathworks.com/matlabcentral/answers/1574878-poisson-process-exponential-inter-arrival-time-vs-exponential-holding-time
Poisson process: exponential inter arrival time vs exponential holding time - MATLAB Answers -...
Poisson process: exponential inter arrival time... Learn more about random number generator, poisson, time MATLAB
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https://github.com/astrostat/Automark
GitHub - astrostat/Automark: Automatic marking of marked Poisson process in astronomical...
Automatic marking of marked Poisson process in astronomical high-dimensional datasets - astrostat/Automark
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https://deepai.org/publication/towards-expressive-priors-for-bayesian-neural-networks-poisson-process-radial-basis-function-networks
Towards Expressive Priors for Bayesian Neural Networks: Poisson Process Radial Basis Function...
Dec 12, 2019 - 12/12/19 - While Bayesian neural networks have many appealing characteristics, current priors do not easily allow users to specify basic prop...
neural networks