| 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 | 89 | 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 | 66 | 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 | 57 | 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 | 37 | 2020 |
| 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 | 25 | 2016 |
| 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 | 21 | 2021 |
| Online meta-learning for hybrid model-based deep receivers T Raviv, S Park, O Simeone, YC Eldar, N Shlezinger IEEE Transactions on Wireless Communications, 2023 | 20 | 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 | 20 | 2023 |
| 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 | 16 | 2022 |
| 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, 2023 | 14 | 2023 |
| 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 | 14 | 2021 |
| 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 | 13 | 2023 |
| 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 | 9 | 2018 |
| 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 | 8 | 2022 |
| 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 | 7 | 2023 |
| 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 | 7 | 2022 |
| 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 | 6 | 2023 |
| 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 | 6 | 2023 |
| Block-fading non-stationary channel estimation for MIMO-OFDM systems via meta-learning D Kim, S Park, J Kang, J Kang IEEE Communications Letters 26 (12), 2924-2928, 2022 | 6 | 2022 |
