“Crazy Dice” Help Scientists Prove Only One 150-Year-Old Theory About Randomness Works

First formulated in the late 19th century by Austrian physicist and mathematician Ludwig Boltzmann, this principle remains ...
IEEE

Discretizing Continuous Action Space With Unimodal Probability Distributions for On-Policy Reinforcement Learning

Abstract: For on-policy reinforcement learning (RL), discretizing action space for continuous control can easily express multiple modes and is straightforward to optimize. However, without considering ...
GitHub

Zero Truncated Poisson Lognormal Distribution

The type 1 zero truncated Poisson lognormal distribution uses the conditional probability distribution of Poisson lognormal and the type 2 zero truncated Poisson lognormal distribution uses the zero ...
IEEE

The Poisson process and associated probability distributions on time scales

Abstract: Duals of probability distributions on continuous (R) domains exist on discrete (Z) domains. The Poisson distribution on R, for example, manifests itself as a binomial distribution on Z. Time ...
Scientific Research Publishing

Probability Distributions Arising in Connection with the Inspection Paradox for the Poisson Process ()

The Inspection Paradox refers to the fact that in a Renewal Process, the length of the interarrival period which contains a fixed time is stochastically larger than the length of a typical ...
marktechpost

Latest Machine Learning Research at MIT Presents a Novel ‘Poisson Flow’ Generative Model (PFGM) That Maps any Data Distribution into a Uniform Distribution on a High ...

Deep generative models are a popular data generation strategy used to generate high-quality samples in pictures, text, and audio and improve semi-supervised learning, domain generalization, and ...