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Arndt Ryo Koblitz

A. Ryo Koblitz – Ryo Koblitz

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Journal Articles

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2017
[j1]
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  - journals/jcphy/KoblitzLNH17
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  - https://dblp.org/rec/journals/jcphy/KoblitzLNH17
Arndt Ryo Koblitz, Sean Lovett, Nikolaos Nikiforakis, William D. Henshaw:
Direct numerical simulation of particulate flows with an overset grid method. J. Comput. Phys. 343: 414-431 (2017)

Conference and Workshop Papers

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2024
[c3]
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  dblp key:
  - conf/eucnc/KobalDKA24
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  - https://dblp.org/rec/conf/eucnc/KobalDKA24
Tugce Kobal, François Durand, Ryo Koblitz, Matthew Andrews:
Post-Computing Analog Beams after User Selection in a Hybrid Beamforming System. EuCNC/6G Summit 2024: 457-462
2023
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  - conf/eucnc/MaggiMCTKAKHMRKK23
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Lorenzo Maggi, Claudiu Mihailescu, Qike Cao, Alan Tetich, Saad Khan, Simo Aaltonen, Ryo Koblitz, Maunu Holma, Samuele Macchi, Maria Elena Ruggieri, Igor Korenev, Bjarne Klausen:
Energy Savings under Performance Constraints via Carrier Shutdown with Bayesian Learning. EuCNC/6G Summit 2023: 1-6
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  - conf/vtc/MaggiKZA23
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Lorenzo Maggi, Ryo Koblitz, Qiping Zhu, Matthew Andrews:
Tracking the Best Beam for a Mobile User via Bayesian Optimization. VTC2023-Spring 2023: 1-7

Informal and Other Publications

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2024
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  - journals/corr/abs-2405-19045
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Lorenzo Maggi, Matthew Andrews, Ryo Koblitz:
To RL or not to RL? An Algorithmic Cheat-Sheet for AI-Based Radio Resource Management. CoRR abs/2405.19045 (2024)
2023
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  - journals/corr/abs-2302-01093
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Lorenzo Maggi, Claudiu Mihailescu, Qike Cao, Alan Tetich, Saad Khan, Simo Aaltonen, Ryo Koblitz, Maunu Holma, Samuele Macchi, Maria Elena Ruggieri, Igor Korenev, Bjarne Klausen:
Energy savings under performance constraints via carrier shutdown with Bayesian learning. CoRR abs/2302.01093 (2023)
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  - journals/corr/abs-2303-17301
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Lorenzo Maggi, Ryo Koblitz, Qiping Zhu, Matthew Andrews:
Tracking the Best Beam for a Mobile User via Bayesian Optimization. CoRR abs/2303.17301 (2023)
[i1]
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  - journals/corr/abs-2311-12807
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A. Ryo Koblitz, Lorenzo Maggi, Matthew Andrews:
Reducing the Environmental Impact of Wireless Communication via Probabilistic Machine Learning. CoRR abs/2311.12807 (2023)

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