Yannik Böck

Orcid: 0000-0001-7640-6988

According to our database1, Yannik Böck authored at least 15 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Virtual-Twin Technologies in Networking.
IEEE Commun. Mag., November, 2023

On the Semidecidability of the Remote State Estimation Problem.
IEEE Trans. Autom. Control., March, 2023

On the Arithmetic Complexity of the Bandwidth of Bandlimited Signals.
IEEE Trans. Inf. Theory, 2023

Trustworthy Digital Representations of Analog Information - An Application-Guided Analysis of a Fundamental Theoretical Problem in Digital Twinning.
Algorithms, 2023

Arithmetic Complexity of Frequency-Domain Representations of Time-Computable Signals.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Optimization of Digital-Twin Representations of Analog Signals and Systems.
Proceedings of the IEEE International Conference on Communications, 2023

Turing Meets Machine Learning: Uncomputability of Zero-Error Classifiers.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Neuromorphic Twins for Networked Control and Decision-Making.
CoRR, 2022

On the Need of Analog Signals and Systems for Digital-Twin Representations.
CoRR, 2022

Computing Upper and Lower Bounds for the Bandwidth of Bandlimited Signals.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Deciding the Problem of Remote State Estimation via Noisy Communication Channels on Real Number Signal Processing Hardware.
Proceedings of the IEEE International Conference on Communications, 2022

2021
On the Semi-Decidability of Remote State Estimation and Stabilization via Noisy Communication Channels.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
On the Effectiveness of Fekete's Lemma.
CoRR, 2020

On the Effectiveness of Fekete's Lemma in Information Theory.
Proceedings of the IEEE Information Theory Workshop, 2020

2017
Content-based surface material retrieval.
Proceedings of the 2017 IEEE World Haptics Conference, 2017


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