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Sangwoo Park
Sangwoo Park
在 kcl.ac.uk 的电子邮件经过验证
标题
引用次数
引用次数
年份
Learning to demodulate from few pilots via offline and online meta-learning
S Park, H Jang, O Simeone, J Kang
IEEE Transactions on Signal Processing 69, 226-239, 2020
912020
From learning to meta-learning: Reduced training overhead and complexity for communication systems
O Simeone, S Park, J Kang
2020 2nd 6G Wireless Summit (6G SUMMIT), 1-5, 2020
672020
Meta-learning to communicate: Fast end-to-end training for fading channels
S Park, O Simeone, J Kang
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
572020
End-to-end fast training of communication links without a channel model via online meta-learning
S Park, O Simeone, J Kang
2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020
402020
A computationally efficient scheme for feature extraction with kernel discriminant analysis
HK Min, Y Hou, S Park, I Song
Pattern Recognition 50, 45-55, 2016
252016
Learning with limited samples: Meta-learning and applications to communication systems
L Chen, ST Jose, I Nikoloska, S Park, T Chen, O Simeone
Foundations and Trends® in Signal Processing 17 (2), 79-208, 2023
222023
Online meta-learning for hybrid model-based deep receivers
T Raviv, S Park, O Simeone, YC Eldar, N Shlezinger
IEEE Transactions on Wireless Communications 22 (10), 6415-6431, 2023
212023
Meta-ViterbiNet: Online meta-learned Viterbi equalization for non-stationary channels
T Raviv, S Park, N Shlezinger, O Simeone, YC Eldar, J Kang
2021 IEEE International Conference on Communications Workshops (ICC …, 2021
212021
Learning how to demodulate from few pilots via meta-learning
S Park, H Jang, O Simeone, J Kang
2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019
182019
Information-theoretic analysis of epistemic uncertainty in bayesian meta-learning
ST Jose, S Park, O Simeone
International Conference on Artificial Intelligence and Statistics, 9758-9775, 2022
162022
Robust Bayesian learning for reliable wireless AI: Framework and applications
M Zecchin, S Park, O Simeone, M Kountouris, D Gesbert
IEEE Transactions on Cognitive Communications and Networking 9 (4), 897-912, 2023
142023
Learning to learn to demodulate with uncertainty quantification via bayesian meta-learning
KM Cohen, S Park, O Simeone, S Shamai
WSA 2021; 25th International ITG Workshop on Smart Antennas, 1-6, 2021
142021
Robust PAC: Training Ensemble Models Under Misspecification and Outliers
M Zecchin, S Park, O Simeone, M Kountouris, D Gesbert
IEEE Transactions on Neural Networks and Learning Systems, 2023
132023
Energy efficiency enhancement on cloud and edge processing by dynamic RRH selection
J Na, J Koh, S Park, J Kang
2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC …, 2018
92018
Few-shot calibration of set predictors via meta-learned cross-validation-based conformal prediction
S Park, KM Cohen, O Simeone
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
82023
Bayesian active meta-learning for reliable and efficient AI-based demodulation
KM Cohen, S Park, O Simeone, S Shamai
IEEE Transactions on Signal Processing 70, 5366-5380, 2022
82022
Predicting flat-fading channels via meta-learned closed-form linear filters and equilibrium propagation
S Park, O Simeone
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
82022
Calibrating AI models for wireless communications via conformal prediction
KM Cohen, S Park, O Simeone, S Shamai
IEEE Transactions on Machine Learning in Communications and Networking, 2023
72023
Modular model-based bayesian learning for uncertainty-aware and reliable deep MIMO receivers
T Raviv, S Park, O Simeone, N Shlezinger
2023 IEEE International Conference on Communications Workshops (ICC …, 2023
72023
Continual meta-reinforcement learning for UAV-aided vehicular wireless networks
R Marini, S Park, O Simeone, C Buratti
ICC 2023-IEEE International Conference on Communications, 5664-5669, 2023
72023
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