3 papers
cs.LG2026
Training Dynamics of Transformers on Unbounded Inputs: Attention Learning Can Lag Output Layer Learning
Yaomengxi Han, Debarghya Ghoshdastidar
The success of transformers is attributed to several factors, including their capacity to express formal languages over variable-length inputs, and ability of the attention mechani…
eess.SP2026
Noncoherent MIMO in the FR3 Upper Mid-Band Using Grassmannian Signaling: Prototype and Experimental Evaluation
Álvaro Pendás-Recondo, Enrique Pendás-Recondo, Álvaro F. Vaquero +2
This work presents a prototype implementation of a noncoherent multiple-input multiple-output (MIMO) system based on Grassmannian signalling, where neither the transmitter nor rece…
eess.SP2025
A Structured Family of Grassmannian Constellations via Geodesic Mapping for MIMO Noncoherent Communications
Álvaro Pendás-Recondo, Enrique Pendás-Recondo
This work presents a novel structured family of Grassmannian constellations for multiple-input multiple-output (MIMO) noncoherent communications over Rayleigh block-fading channels…