52 citations · 178 across the 19 of their papers we have counts for
4 papers · 1 filter
Flow-based Spectral Kernel Learning for Nonstationary Attention
Zi Yang, Ying Li, Alejandro Lancho +3
Kernelized attention provides a useful perspective for understanding self-attention as a similarity-based aggregation mechanism, but existing approaches often rely on fixed or stat…
NARRAS: Edge-Triggered Distributed Inference for CSI-Based Localization in Vehicular IoT Networks
Rodrigo Oliver, Ricardo Vazquez Alvarez, Alejandro Lancho +1
CSI-based localization with spatially distributed antenna arrays exposes a basic resource trade-off. Each array can provide a rich view of the channel, but forwarding observations…
Extremum-Based Joint Compression and Detection for Distributed Sensing
Amir Weiss, Alejandro Lancho
We study joint compression and detection in distributed sensing systems motivated by emerging applications such as IoT-based localization. Two spatially separated sensors observe n…
Learning to Separate RF Signals Under Uncertainty: Detect-Then-Separate vs. Unified Joint Models
Ariel Rodrigez, Alejandro Lancho, Amir Weiss
The increasingly crowded radio frequency (RF) spectrum forces communication signals to coexist, creating heterogeneous interferers whose structure often departs from Gaussian model…