activity
20152026
most citedAn MDP Model for Censoring in Harvesting Sensors: Optimal and Approximated Solutions

20 citations · 26 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Revisiting Error Feedback for Model Quantization

Wai-Yiu Keung, Chi Cui, Wing-Kin Ma +2

We study causal error-feedback coefficients as design variables for model quantization. Modeling instantaneous quantization errors as independent, zero-mean variables with a common…

cs.MA2025★ 1 cited

Asymptotic analysis of cooperative censoring policies in sensor networks

Jesus Fernandez-Bes, Rocío Arroyo-Valles, Jesús Cid-Sueiro

The problem of cooperative data censoring in battery-powered multihop sensor networks is analyzed in this paper. We are interested in scenarios where nodes generate messages (which…

eess.SY2025★ 20 cited

An MDP Model for Censoring in Harvesting Sensors: Optimal and Approximated Solutions

Jesus Fernandez-Bes, Jesus Cid-Sueiro, Antonio G. Marques

In this paper, we propose a novel censoring policy for energy-efficient transmissions in energy-harvesting sensors. The problem is formulated as an infinite-horizon Markov Decision…

cs.LG2022★ 1 cited

The Weak Supervision Landscape

Rafael Poyiadzi, Daniel Bacaicoa-Barber, Jesus Cid-Sueiro +3

Many ways of annotating a dataset for machine learning classification tasks that go beyond the usual class labels exist in practice. These are of interest as they can simplify or f…

eess.SY2015★ 4 cited

Censoring Diffusion for Harvesting WSNs

Jesus Fernandez-Bes, Rocío Arroyo-Valles, Jerónimo Arenas-García +1

In this paper, we analyze energy-harvesting adaptive diffusion networks for a distributed estimation problem. In order to wisely manage the available energy resources, we propose a…