4 citations · 5 across the 10 of their papers we have counts for
10 papers
Interpretable Feature Learning for RF Fingerprinting via Polar MKANs
Mikhail Krasnov, Ljupcho Milosheski, Carolina Fortuna
Radio frequency (RF) fingerprinting authenticates wireless devices from hardware-induced I/Q impairments, typically with deep learning feature extractors that are accurate but opaq…
Monotonic Kolmogorov-Arnold Networks: A Theoretical and Empirical Study of Monotonicity as an Inductive Bias
Mikhail Krasnov, Blaž Bertalanič, Carolina Fortuna
Monotonicity has been a long-running architectural inductive bias for neural networks, motivated by tabular, scientific, and economic settings where outputs are known to respond mo…
The Ringelmann Effect in Multi-Agent LLM Systems: A Scaling Law for Effective Team Size
Blaž Bertalanič, Carolina Fortuna
Inference-time multi-agent LLM scaling lacks a shared unit: counting nominal agents conflates cost with independent evidence. We derive a two-parameter scaling law $R(N) = N_\text{…
The Cost of Consensus: Isolated Self-Correction Prevails Over Unguided Homogeneous Multi-Agent Debate
Blaž Bertalanič, Carolina Fortuna
Multi-agent debate, where teams of LLMs iteratively exchange rationales and vote on answers, is widely deployed under the assumption that peer review filters hallucinations. Yet th…
Design Principles of Zero-Shot Self-Supervised Unknown Emitter Detectors
Mikhail Krasnov, Ljupcho Milosheski, Mihael Mohorčič +1
The proliferation of wireless devices necessitates more robust and reliable emitter detection and identification for critical tasks such as spectrum management and network security…
SABER: Symbolic Regression-based Angle of Arrival and Beam Pattern Estimator
Shih-Kai Chou, Mengran Zhao, Cheng-Nan Hu +3
Accurate Angle-of-arrival (AoA) estimation is essential for next-generation wireless communication systems to enable reliable beamforming, high-precision localization, and integrat…
Analysis of AI Techniques for Orchestrating Edge-Cloud Application Migration
Sadig Gojayev, Ahmad Anaqreh, Carolina Fortuna
Application migration in edge-cloud system enables high QoS and cost effective service delivery. However, automatically orchestrating such migration is typically solved with heuris…
Multi-agent Reinforcement Learning-based In-place Scaling Engine for Edge-cloud Systems
Jovan Prodanov, Blaž Bertalanič, Carolina Fortuna +4
Modern edge-cloud systems face challenges in efficiently scaling resources to handle dynamic and unpredictable workloads. Traditional scaling approaches typically rely on static th…
Automated Modeling Method for Pathloss Model Discovery
Ahmad Anaqreh, Shih-Kai Chou, Blaž Bertalanič +3
Modeling propagation is the cornerstone for designing and optimizing next-generation wireless systems, with a particular emphasis on 5G and beyond era. Traditional modeling methods…
The Energy Cost of Artificial Intelligence Lifecycle in Communication Networks
Shih-Kai Chou, Jernej Hribar, Vid Hanžel +2
Artificial Intelligence (AI) is being incorporated in several optimization, scheduling, orchestration as well as in native communication network functions. This paradigm shift resu…