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Osvaldo Simeone

4 papers hereh-index 213 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IT1
  • cs.LG1
  • eess.SP1
  • quant-ph1
same name
  • Osvaldo Simeone — 30 papers, h 11
  • Osvaldo Simeone — 15 papers, h 6
  • Osvaldo Simeone — 14 papers, h 4
  • Osvaldo Simeone — 8 papers, h 1
  • Osvaldo Simeone — 6 papers, h 2
  • Osvaldo Simeone — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators

4 papers

cs.IT2026

Remote State Estimation over a Wearing Channel: Information Freshness vs. Channel Aging

Jiping Luo, George Stamatakis, Osvaldo Simeone +1

We study the remote estimation of a linear Gaussian system over a channel that wears out over time and with every use. The sensor can either transmit a fresh measurement in the cur…

quant-ph2026

Conservative quantum offline model-based optimization

Kristian Sotirov, Annie E. Paine, Savvas Varsamopoulos +2

Offline model-based optimization (MBO) refers to the task of optimizing a black-box objective function using only a fixed set of prior input-output data, without any active experim…

eess.SP2025

SIM-Enabled Hybrid Digital-Wave Beamforming for Fronthaul-Constrained Cell-Free Massive MIMO Systems

Eunhyuk Park, Seok-Hwan Park, Osvaldo Simeone +2

As the dense deployment of access points (APs) in cell-free massive multiple-input multiple-output (CF-mMIMO) systems presents significant challenges, per-AP coverage can be expand…

cs.LG2024

Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning

Boning Zhang, Dongzhu Liu, Osvaldo Simeone +3

To support real-world decision-making, it is crucial for models to be well-calibrated, i.e., to assign reliable confidence estimates to their predictions. Uncertainty quantificatio…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.