Cover Image

Active Jammer Localization via Acquisition-Aware Path Planning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	González-Gudiño, Luis, Jaramillo-Civill, Mariona, Closas, Pau, Imbiriba, Tales
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian Jammer Localization with a Hybrid CNN and Path-Loss Mixture of Experts
by: Jaramillo-Civill, Mariona, et al.
Published: (2025)

DPMM-CFL: Clustered Federated Learning via Dirichlet Process Mixture Model Nonparametric Clustering
by: Jaramillo-Civill, Mariona, et al.
Published: (2025)

A Bayesian Framework for Clustered Federated Learning
by: Wu, Peng, et al.
Published: (2024)

On the Impact of Sampling on Deep Sequential State Estimation
by: Calatrava, Helena, et al.
Published: (2023)

Trends and Challenges in Next-Generation GNSS Interference Management
by: Marata, Leatile, et al.
Published: (2025)

Recursive Deep Inverse Reinforcement Learning
by: Ghanem, Paul, et al.
Published: (2025)

Robust Recursive Fusion of Multiresolution Multispectral Images with Location-Aware Neural Networks
by: Li, Haoqing, et al.
Published: (2025)

Interpretable Augmented Physics-Based Model for Estimation and Tracking
by: Straka, Ondřej, et al.
Published: (2025)

Dependency-aware Maximum Likelihood Estimation for Active Learning
by: Kalkanli, Beyza, et al.
Published: (2025)

AI-Aided Kalman Filters
by: Shlezinger, Nir, et al.
Published: (2024)

MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems
by: Sunger, Elifnur, et al.
Published: (2024)

Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation
by: Singh, Ashutosh, et al.
Published: (2024)

KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators
by: Singh, Ashutosh, et al.
Published: (2024)

Mitigation of Radar Range Deception Jamming Using Random Finite Sets
by: Calatrava, Helena, et al.
Published: (2024)

Machine and Deep Learning for Indoor UWB Jammer Localization
by: Fard, Hamed, et al.
Published: (2025)

Learning Physics Informed Neural ODEs With Partial Measurements
by: Ghanem, Paul, et al.
Published: (2024)

Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach
by: Potter, Michael, et al.
Published: (2024)

Stochastic Encodings for Active Feature Acquisition
by: Norcliffe, Alexander, et al.
Published: (2025)

Distribution Guided Active Feature Acquisition
by: Li, Yang, et al.
Published: (2024)

Non-Myopic Active Feature Acquisition via Pathwise Policy Gradients
by: Aronsson, Linus, et al.
Published: (2026)

Continuously Optimizing Radar Placement with Model Predictive Path Integrals
by: Potter, Michael, et al.
Published: (2024)

A Survey on Active Feature Acquisition Strategies
by: Aronsson, Linus, et al.
Published: (2025)

Active Evaluation Acquisition for Efficient LLM Benchmarking
by: Li, Yang, et al.
Published: (2024)

Recursive classification of satellite imaging time-series: An application to land cover mapping
by: Calatrava, Helena, et al.
Published: (2023)

Cohort-Based Active Modality Acquisition
by: Rheude, Tillmann, et al.
Published: (2025)

Active Learning with Selective Time-Step Acquisition for PDEs
by: Kim, Yegon, et al.
Published: (2025)

Gradient-Discrepancy Acquisition for Pool-Based Active Learning
by: Khosravani, Mohamadsadegh, et al.
Published: (2026)

Direct Acquisition Optimization for Low-Budget Active Learning
by: Zhao, Zhuokai, et al.
Published: (2024)

Learning Social Heuristics for Human-Aware Path Planning
by: Eirale, Andrea, et al.
Published: (2025)

Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design
by: Iollo, Jacopo, et al.
Published: (2025)

ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition
by: Huang, Daolang, et al.
Published: (2025)

Efficient Online Decision Tree Learning with Active Feature Acquisition
by: Rahbar, Arman, et al.
Published: (2023)

Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning
by: Rückin, Julius, et al.
Published: (2023)

AQKA: Active Quantum Kernel Acquisition Under a Shot Budget
by: Xu, Jian, et al.
Published: (2026)

Active Learning Using Aggregated Acquisition Functions: Accuracy and Sustainability Analysis
by: Jung, Cédric, et al.
Published: (2026)

Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings
by: von Kleist, Henrik, et al.
Published: (2023)

Self-Supervised Path Planning in UAV-aided Wireless Networks based on Active Inference
by: Krayani, Ali, et al.
Published: (2024)

SpiroActive: Active Learning for Efficient Data Acquisition for Spirometry
by: Jain, Ankita Kumari, et al.
Published: (2024)

OASI: Objective-Aware Surrogate Initialization for Multi-Objective Bayesian Optimization in TinyML Keyword Spotting
by: Garai, Soumen, et al.
Published: (2025)

AFABench: A Generic Framework for Benchmarking Active Feature Acquisition
by: Schütz, Valter, et al.
Published: (2025)