2 papers
cs.LG2026
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…
cs.IT2026
A Universal Neural Receiver that Learns at the Speed of Wireless
Lingjia Liu, Lizhong Zheng, Yang Yi +1
Today we design wireless networks using mathematical models that govern communication in different propagation environments. We rely on measurement campaigns to deliver parametrize…