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Osvaldo Simeone

7 papers hereh-index 244 citations8 works total

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

author position
  • last author7

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • quant-ph5
  • cs.IT1
  • cs.LG1
same name
  • Osvaldo Simeone — 47 papers, h 11
  • Osvaldo Simeone — 19 papers, h 6
  • Osvaldo Simeone — 18 papers, h 4
  • Osvaldo Simeone — 8 papers, h 1
  • Osvaldo Simeone — 7 papers, h 2
  • Osvaldo Simeone — 5 papers, h 2

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
most citedQuantum Information Processing, Sensing and Communications: Their Myths, Realities and Futures

27 citations · 27 across the 6 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

quant-ph2025

Variational Quantum Integrated Sensing and Communication

Ivana Nikoloska, Osvaldo Simeone

The integration of sensing and communication functionalities within a common system is one of the main innovation drivers for next-generation networks. In this paper, we introduce…

cs.LG2025

Attention-Based Feature Online Conformal Prediction for Time Series

Meiyi Zhu, Caili Guo, Chunyan Feng +1

Online conformal prediction (OCP) wraps around any pre-trained predictor to produce prediction sets with coverage guarantees that hold irrespective of temporal dependencies or dist…

quant-ph2025

Adaptive Bayesian Single-Shot Quantum Sensing

Ivana Nikoloska, Ruud Van Sloun, Osvaldo Simeone

Quantum sensing harnesses the unique properties of quantum systems to enable precision measurements of physical quantities such as time, magnetic and electric fields, acceleration,…

quant-ph2025

Dynamic Estimation Loss Control in Variational Quantum Sensing via Online Conformal Inference

Ivana Nikoloska, Hamdi Joudeh, Ruud van Sloun +1

Quantum sensing exploits non-classical effects to overcome limitations of classical sensors, with applications ranging from gravitational-wave detection to nanoscale imaging. Howev…

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