Akshay Malhotra

GCNO: Gramian Chebyshev Neural Operator for Physics-Based Compression of Wireless Channels

The Gramian Chebyshev Neural Operator is introduced, a physics-based, variable-rate compressor that identifies a sample-dependent set of path directions that achieves better reconstruction accuracy at the same payload - or lower payload at the same accuracy - than neural feedback baselines, and transfers to unseen antenna counts without retraining.