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
109 2020 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
73 2020 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
67 2020 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
50 2020 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
35 2023 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
33 2023 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
26 2016 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
22 2023 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
22 2021 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
18 2019 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
17 2022 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
17 2021 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
16 2023 Calibrating AI models for wireless communications via conformal prediction KM Cohen, S Park, O Simeone, SS Shitz
IEEE Transactions on Machine Learning in Communications and Networking 1 …, 2023
15 2023 Robust PAC M Zecchin, S Park, O Simeone, M Kountouris, D Gesbert
IEEE Transactions on Neural Networks and Learning Systems, 2023
14 2023 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
14 2022 Bayesian optimization with formal safety guarantees via online conformal prediction Y Zhang, S Park, O Simeone
IEEE Journal of Selected Topics in Signal Processing, 2024
13 2024 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
13 2023 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
11 2023 Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels T Raviv, S Park, O Simeone, YC Eldar, N Shlezinger
IEEE Wireless Communications, 2024
10 2024