High-throughput omics datasets provide detailed snapshots of the cellular transcriptome, but their destructive nature prevents tracking the time evolution of a cell’s molecular state. This limitation, ...

Enter the values of random variable values and results in the statistics of such variable. Enter any stochastic process and results in the ensemble and the time statistics of such process. The GUI can ...

Understanding the physical dynamics of probe diffusion is critical for uncovering subtle interactions between particles and their environments, offering insights into evolving transport mechanisms at ...

This repository accompanies the paper “Has the Deep Neural Network Learned the Stochastic Process? An Evaluation Viewpoint,” which will be presented at ICLR 2025. You can access the paper on ...

The 2025 edition of the traditional Boltzmann Lecture will be held on Thursday, February 20th, at 14:00 in Room 128-129. Professor Satya Majumdar from CNRS and Universite Paris-Sud, Orsay will give a ...

Introduction: Accurately predicting the remaining mechanical equipment is of great significance for ensuring the safe operation of the equipment and improving economic efficiency. Methods: To ...

ABSTRACT: In this paper, a bivariate stochastic process with Poisson postulates has been considered to model the incomings, outgoings and mutual transfers of investments between and within the ...