Karl Chahine

According to our database, Karl Chahine authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

An Adaptive Loss Function for the Block Error Rate Optimization in Channel Autoencoders.

Karl Chahine, Mohammad Vahid Jamali, Hamid Saber, Jung Hyun Bae

Proceedings of the 2025 IEEE Global Communications Conference, 2025

An End-to-End Learning Framework for MIMO Communications.

Karl Chahine, Jung Hyun Bae, Dongwoon Bai, Hyeji Kim

Proceedings of the 59th Asilomar Conference on Signals, 2025

2024

DeepIC+: Learning Codes for Interference Channels.

Karl Chahine, Yihan Jiang, Joonyoung Cho, Hyeji Kim

IEEE Trans. Wirel. Commun., April, 2024

Exploring Explainability in Video Action Recognition.

Avinab Saha, Shashank Gupta, Sravan Kumar Ankireddy, Karl Chahine, Joydeep Ghosh

Proceedings of the 3rd Explainable AI for Computer Vision (XAI4CV) Workshop, 2024

Neural Cover Selection for Image Steganography.

Karl Chahine, Hyeji Kim

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Inventing Codes for Channels With Active Feedback via Deep Learning.

Karl Chahine, Rajesh K. Mishra, Hyeji Kim

IEEE J. Sel. Areas Inf. Theory, September, 2022

Turbo Autoencoder with a Trainable Interleaver.

Karl Chahine, Yihan Jiang, Pooja Nuti, Hyeji Kim, Joonyoung Cho

Proceedings of the IEEE International Conference on Communications, 2022

2021

Distributed Interference Alignment for K-user Interference Channels via Deep Learning.

Rajesh K. Mishra, Karl Chahine, Hyeji Kim, Syed Ali Jafar, Sriram Vishwanath

Proceedings of the IEEE International Symposium on Information Theory, 2021

DeepIC: Coding for Interference Channels via Deep Learning.

Karl Chahine, Nanyang Ye, Hyeji Kim

Proceedings of the IEEE Global Communications Conference, 2021