flashontrack

<< The stochastic gradient descent (SGD) algorithm is the algorithm (is used) to train neural networks. However, it rema...

<< The persistence exponent, which characterizes the long-time decay of the survival probability of stochastic processes i...

<< Restart is a common strategy observed in nature that accelerates first-passage processes, and has been extensively studied using cl...

<< This study explores biased random walk dynamics with stochastic resetting on general networks. (AA) show that the combination of ...

AA << study the first-passage-time (FPT) properties of active Brownian particles to reach an absorbing wall in two dimensi...

<< Three types of cycles are identified in the quantum jump trajectories of the Scovil–Schulz-DuBois (SSDB) machine. An R ...

<< Stochastic resonance is a phenomenon possessed by some nonlinear oscillators, in which a weak signal is boosted by noise. Both the ...

AA << analyze a one-dimensional intermittent random walk on an unbounded domain in the presence of stochastic resetting. In this proce...

<< The numerical quantification of the statistics of rare events in stochastic processes is a challenging computational problem. (AA) ...

<< Multi-scale systems (..) may possess a fascinating property of spontaneous stochasticity: a small-scale initial uncerta...