3 citations · 3 across the 4 of their papers we have counts for
4 papers
Learning Low-Dimensional Representation for O-RAN Testing via Transformer-ESN
Jiongyu Dai, Raymond Zhao, Farhad Rezazadeh +3
Open Radio Access Network (O-RAN) architectures enhance flexibility for 6G and NextG networks. However, it also brings significant challenges in O-RAN testing with evaluating abund…
When Learning Hurts: Fixed-Pole RNN for Real-Time Online Training
Alexander Morgan, Ummay Sumaya Khan, Lingjia Liu +1
Recurrent neural networks (RNNs) can be interpreted as discrete-time state-space models, where the state evolution corresponds to an infinite-impulse-response (IIR) filtering opera…
Relatively-Secure LLM-Based Steganography via Constrained Markov Decision Processes for High-Efficiency Embedding
Yu-Shin Huang, Chao Tian, Krishna Narayanan +1
Linguistic steganography aims to conceal information within natural language text without being detected. An effective steganography approach should encode the secret message bits…
Towards xAI: Configuring RNN Weights using Domain Knowledge for MIMO Receive Processing
Shashank Jere, Lizhong Zheng, Karim Said +1
Deep learning is making a profound impact in the physical layer of wireless communications. Despite exhibiting outstanding empirical performance in tasks such as MIMO receive proce…