2 papers
cs.LG2026
A Unified Particle Filter LSTM for Data-Driven Process Simulation
Parvin Malekzadeh, Opher Baron, Dmitry Krass
Data-driven process simulation aims to generate realistic case trajectories from historical event logs without requiring an explicitly specified model of the underlying dynamics. D…
cs.LG2024
Approximating G(t)/GI/1 queues with deep learning
Eliran Sherzer, Opher Baron, Dmitry Krass +1
In this paper, we apply a supervised machine-learning approach to solve a fundamental problem in queueing theory: estimating the transient distribution of the number in the system…