Researchers from Google Research examine the privacy implications of different batch sampling methods in DP-SGD. Their findings reveal significant disparities between shuffling and Poisson subsampling ...

It is straightforward to estimate the variance in a Poisson sampling process under a known distribution of assembly traces. However, the intrinsic firing rates of the artificial neural assemblies are ...

Rotated Poisson Sampling Texture Stores random values used in the Poisson Rotated mode. Default texture should be sufficient, but if there is a need to get another, one can be generated via the ...

Surface Sampling radius 0.363582 - montecarlo 641748vn - Poisson 43981vn Surface Sampling radius 0.363582 - montecarlo 663958vn - Poisson 49061vn Surface Sampling radius 0.363582 - montecarlo 704656vn ...

Sampling is a technique in which samples are drawn at random (without any favor or bias). For this, suitable measures or procedures may be laid down and ...

In this paper, we study the detection of Poisson point sources when the central detector observes the remote source via a restricted number of samples from distributed sensors. More specifically, we ...

Due to the superposition property of Poisson processes, the number of spikes—or samples—generated by the neural population within the decoding window is also a Poisson random variable. If the total ...