Communication algorithms via deep learning H Kim, Y Jiang, R Rana, S Kannan, S Oh, P Viswanath Sixth International Conference on Learning Representations (ICLR), 2018 | 249 | 2018 |
BRP-NAS: Prediction-based NAS using GCNs Ł Dudziak, T Chau, MS Abdelfattah, R Lee, H Kim, ND Lane arXiv preprint arXiv:2007.08668, 2020 | 196 | 2020 |
Deepcode: Feedback Codes via Deep Learning H Kim, Y Jiang, S Kannan, S Oh, P Viswanath IEEE Journal on Selected Areas in Information Theory, 2020 | 156 | 2020 |
Turbo autoencoder: Deep learning based channel codes for point-to-point communication channels Y Jiang, H Kim, H Asnani, S Kannan, S Oh, P Viswanath Advances in Neural Information Processing Systems (NeurIPS), 2758-2768, 2019 | 142 | 2019 |
Deepcode: Feedback codes via deep learning H Kim, Y Jiang, S Kannan, S Oh, P Viswanath Advances in Neural Information Processing Systems (NeurIPS), 2018 | 112 | 2018 |
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator M Abdelfattah, Ł Dudziak, T Chau, R Lee, H Kim, N Lane Design Automation Conference (DAC), https://arxiv.org/abs/2002.05022, 2020 | 87 | 2020 |
LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks Y Jiang, H Kim, H Asnani, S Kannan, S Oh, P Viswanath IEEE Journal on Selected Areas in Information Theory, 2020 | 86 | 2020 |
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks Y Jiang, H Kim, H Asnani, S Kannan, S Oh, P Viswanath 53rd IEEE International Conference on Communications (ICC 2019), 2018 | 86 | 2018 |
Journey Towards Tiny Perceptual Super-Resolution R Lee, L Dudziak, M Abdelfattah, S Venieris, H Kim, H Wen, ND Lane European Conference on Computer Vision (ECCV), https://arxiv.org/abs/2007.04356, 2020 | 54 | 2020 |
Physical Layer Communication via Deep Learning H Kim, S Oh, P Viswanath IEEE Journal on Selected Areas in Information Theory, 2020 | 51 | 2020 |
DeepTurbo: Deep Turbo Decoder Y Jiang, H Kim, H Asnani, S Kannan, S Oh, P Viswanath https://arxiv.org/abs/1903.02295 (SPAWC 2019), 2019 | 49 | 2019 |
HAPI: Hardware-Aware Progressive Inference S Laskaridis, S Venieris, H Kim, N Lane IEEE/ACM International Conference on Computer Aided Design, 2020 | 45 | 2020 |
MIND: Model Independent Neural Decoder Y Jiang, H Kim, H Asnani, S Kannan IEEE International Workshop on Signal Processing Advances in Wireless …, 2019 | 42 | 2019 |
Machine learning and wireless communications YC Eldar, A Goldsmith, D Gündüz, HV Poor Cambridge University Press, 2022 | 32 | 2022 |
Superposition coding is almost always optimal for the Poisson broadcast channel H Kim, B Nachman, A El Gamal IEEE Transactions on Information Theory 62 (4), 1782 - 1794, 2016 | 29 | 2016 |
Superposition coding is almost always optimal for the Poisson broadcast channel H Kim, B Nachman, A El Gamal Information Theory (ISIT), 2015 IEEE International Symposium on, 834-838, 2015 | 29 | 2015 |
Neural Distributed Source Coding J Whang, A Acharya, H Kim, AG Dimakis https://arxiv.org/pdf/2106.02797.pdf, 2022 | 20 | 2022 |
A note on the broadcast channel with stale state information at the transmitter H Kim, YK Chia, A El Gamal IEEE Transactions on Information Theory 61 (7), 3622-3631, 2015 | 20 | 2015 |
Joint channel coding and modulation via deep learning Y Jiang, H Kim, H Asnani, S Kannan, S Oh, P Viswanath 2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020 | 19 | 2020 |
Distributed Interference Alignment for K -user Interference Channels via Deep Learning RK Mishra, K Chahine, H Kim, S Jafar, S Vishwanath ISIT, 2021 | 12 | 2021 |