595 citations · 3.6k across the 131 of their papers we have counts for
15 papers · 1 filter
From Identification to Discovery: Holistic RF Fingerprinting via Learning-Aided Quantization
Omer Hazan, Gil Paryanti, Nir Shlezinger
Radio frequency fingerprint identification (RFFI) enables device identification and authentication by exploiting transmitter-specific hardware impairments embedded in received RF s…
MANET-GNN: Learned Decentralized Optimization of Power Allocation in Multi-Channel MANETs
Tomer Alter, Nir Shlezinger, Michael Segal
MANETs enable flexible infrastructure-less wireless connectivity in dynamic and resource-constrained environments. As modern MANETs exploit multiple frequency channels and support…
Online Learning via Learned Latent Bayesian Tracking
Guy Gerson, Tomer Raviv, Nir Shlezinger +2
Online learning in non-stationary environments requires models to adapt rapidly from streaming data under strict computational constraints. A principled approach casts online learn…
Neural Kalman Filtering for Unknown Dynamics: Task-Aware Learning with a Koopman Backbone
Mintaek Oh, Jeonghun Park, Nir Shlezinger +2
Recent years have witnessed a growing interest in AI-aided Kalman filters. While emerging methodologies, such as KalmanNet, were shown to facilitate tracking in partially known sta…
Generative Learning for Ambisonic Upscaling
Amit Milstein, Nir Shlezinger, Boaz Rafaely
Ambisonics Upscaling (AU) aims to enhance the spatial resolution of sound fields by estimating high-order Ambisonics (HOA) components from low-order observations. While deep learni…
AI-Aided ESPRIT for Joint DoA Estimation and Uncertainty Extraction
Raz Zohar, Nir Shlezinger
DoA estimation often requires not only accurate recovery of source directions, but also reliable characterization of the uncertainty in these estimates. While classical subspace me…