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Nikoloska, Ivana
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1

Time-warping invariant quantum recurrent neural networks vi..:

Nikoloska, Ivana ; Simeone, Osvaldo ; Banchi, Leonardo.
Machine Learning: Science and Technology.  4 (2023)  4 - p. 045038 , 2023
Link: https://doi.org/10.1088/..
 
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2

Modular Meta-Learning for Power Control via Random Edge Gra..:

Nikoloska, Ivana ; Simeone, Osvaldo
IEEE Transactions on Wireless Communications.  22 (2023)  1 - p. 457-470 , 2023
Link: https://doi.org/10.1109/..
 
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3

Quantum-Aided Meta-Learning for Bayesian Binary Neural Netw..:

, In: 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP),
Nikoloska, Ivana ; Simeone, Osvaldo - p. 1-6 , 2022
Link: https://doi.org/10.1109/..
 
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4

Bayesian Active Meta-Learning for Black-Box Optimization:

, In: 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC),
Nikoloska, Ivana ; Simeone, Osvaldo - p. 1-5 , 2022
Link: https://doi.org/10.1109/..
 
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5

On the Secrecy Capacity of a Full-Duplex Wirelessly Powered..:

, In: 2019 16th International Symposium on Wireless Communication Systems (ISWCS),
Nikoloska, Ivana ; Zlatanov, Nikola ; Hadzi-Velkov, Zoran. - p. 577-581 , 2019
Link: https://doi.org/10.1109/..
 
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6

Time-Warping Invariant Quantum Recurrent Neural Networks vi..:

Nikoloska, Ivana ; Simeone, Osvaldo ; Banchi, Leonardo.
http://arxiv.org/abs/2301.08173.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

Learning with Limited Samples -- Meta-Learning and Applicat..:

Chen, Lisha ; Jose, Sharu Theresa ; Nikoloska, Ivana...
http://arxiv.org/abs/2210.02515.  , 2022
Link: http://arxiv.org/abs/221..
 
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8

Modular Meta-Learning for Power Control via Random Edge Gra..:

Nikoloska, Ivana ; Simeone, Osvaldo
Nikoloska , I & Simeone , O 2022 , ' Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks ' , IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS . https://doi.org/10.1109/TWC.2022.3195352.  , 2022
Link: https://kclpure.kcl.ac.u..
 
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9

Quantum-Aided Meta-Learning for Bayesian Binary Neural Netw..:

Nikoloska, Ivana ; Simeone, Osvaldo
http://arxiv.org/abs/2203.17089.  , 2022
Link: http://arxiv.org/abs/220..
 
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10

Modular Meta-Learning for Power Control via Random Edge Gra..:

Nikoloska, Ivana ; Simeone, Osvaldo
Nikoloska , I & Simeone , O 2022 , ' Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks ' , IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS . https://doi.org/10.1109/TWC.2022.3195352.  , 2022
Link: https://kclpure.kcl.ac.u..
 
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11

Training Hybrid Classical-Quantum Classifiers via Stochasti..:

Nikoloska, Ivana ; Simeone, Osvaldo
http://arxiv.org/abs/2201.08629.  , 2022
Link: http://arxiv.org/abs/220..
 
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12

Fast Power Control Adaptation via Meta-Learning for Random ..:

Nikoloska, Ivana ; Simeone, Osvaldo
http://arxiv.org/abs/2105.00459.  , 2021
Link: http://arxiv.org/abs/210..
 
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13

Bayesian Active Meta-Learning for Black-Box Optimization:

Nikoloska, Ivana ; Simeone, Osvaldo
http://arxiv.org/abs/2110.09943.  , 2021
Link: http://arxiv.org/abs/211..
 
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14

Modular Meta-Learning for Power Control via Random Edge Gra..:

Nikoloska, Ivana ; Simeone, Osvaldo
http://arxiv.org/abs/2108.13178.  , 2021
Link: http://arxiv.org/abs/210..
 
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15

Inference over Wireless IoT Links with Importance-Filtered ..:

Nikoloska, Ivana ; Holm, Josefine ; Kalør, Anders..
http://arxiv.org/abs/2001.07857.  , 2020
Link: http://arxiv.org/abs/200..
 
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