Karl Chahine

13 papers A* 1B 3Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2025 B conf
An Adaptive Loss Function for the Block Error Rate Optimization in Channel Autoencoders.
GLOBECOM
Karl Chahine, Mohammad Vahid Jamali, Hamid Saber, Jung Hyun Bae
2025 — conf
An End-to-End Learning Framework for MIMO Communications.
IEEECONF
Karl Chahine, Jung Hyun Bae, Dongwoon Bai, Hyeji Kim
2024 J jnl
DeepIC+: Learning Codes for Interference Channels.
IEEE Trans. Wirel. Commun.
Karl Chahine, Yihan Jiang, Joonyoung Cho, Hyeji Kim
2024 — conf
Exploring Explainability in Video Action Recognition.
XAI4CV
Avinab Saha, Shashank Gupta, Sravan Kumar Ankireddy, Karl Chahine, Joydeep Ghosh
2024 J jnl
Exploring Explainability in Video Action Recognition.
CoRR
Avinab Saha, Shashank Gupta, Sravan Kumar Ankireddy, Karl Chahine, Joydeep Ghosh
2024 A* conf
Neural Cover Selection for Image Steganography.
NeurIPS
Karl Chahine, Hyeji Kim
2024 J jnl
Neural Cover Selection for Image Steganography.
CoRR
Karl Chahine, Hyeji Kim
2022 J jnl
Inventing Codes for Channels With Active Feedback via Deep Learning.
IEEE J. Sel. Areas Inf. Theory
Karl Chahine, Rajesh K. Mishra, Hyeji Kim
2022 — conf
Turbo Autoencoder with a Trainable Interleaver.
ICC
Karl Chahine, Yihan Jiang, Pooja Nuti, Hyeji Kim, Joonyoung Cho
2021 B conf
DeepIC: Coding for Interference Channels via Deep Learning.
GLOBECOM
Karl Chahine, Nanyang Ye, Hyeji Kim
2021 J jnl
DeepIC: Coding for Interference Channels via Deep Learning.
CoRR
Karl Chahine, Nanyang Ye, Hyeji Kim
2021 B conf
Distributed Interference Alignment for K-user Interference Channels via Deep Learning.
ISIT
Rajesh K. Mishra, Karl Chahine, Hyeji Kim, Syed Ali Jafar, Sriram Vishwanath
2021 J jnl
Turbo Autoencoder with a Trainable Interleaver.
CoRR
Karl Chahine, Yihan Jiang, Pooja Nuti, Hyeji Kim, Joonyoung Cho