56 citations · 56 across the 2 of their papers we have counts for
4 papers
Mutual information and sensitivity analysis for feature selection in customer targeting: a comparative study
Nestor Barraza, Sergio Moro, Marcelo Ferreyra +1
Feature selection is a highly relevant task in a data-driven knowledge discovery project. Several techniques have been developed aiming at finding the features that influence most…
Potential Applications of HBF in LLM Serving Systems
Yihan Yin, Yinlun Zhao, Zhixin Yun +8
LLM serving is increasingly constrained by memory capacity as model weights, KV caches, and the number of served model variants continue to grow. This report examines High-Bandwidt…
A non-homogeneous Markov early epidemic growth dynamics model. Application to the SARS-CoV-2 pandemic
Nestor R. Barraza, Gabriel Pena, Verónica Moreno
This work introduces a new markovian stochastic model that can be described as a non-homogeneous Pure Birth process. We propose a functional form of birth rate that depends on the…
A non-homogeneous, non-stationary and path-dependent Markov anomalous diffusion model
Nestor Barraza, Gabriel Pena, Juliana Gambini +1
A novel probabilistic framework for modelling anomalous diffusion is presented. The resulting process is Markovian, non-homogeneous, non-stationary, non-ergodic, and state-dependen…