Interpretable Physics Informed WiFi Indoor Localization: Learning an Effective Access Point Geometry and Using It to Prune

arXiv:2609.32539 · cs.AI, cs.LG · Submitted 2026-09-26 · Read on arXiv

cs.AI, cs.LG

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

• Pruning — 32× in this paper · explained in 4 episodes
• Accuracy — 28× in this paper · explained in 1 episode
• Fingerprinting — 12× in this paper · explained in 2 episodes
• Interpretability — 12× in this paper · explained in 15 episodes
• Fisher Information — 7× in this paper · explained in 3 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Robustness — 6× in this paper · explained in 5 episodes
• Redundancy — 3× in this paper · explained in 2 episodes
• Feature Selection — 2× in this paper · explained in 4 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Active Learning — 1× in this paper · explained in 6 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Commentary — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Federated Learning — 1× in this paper · explained in 14 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes
• Information Gain — 1× in this paper · explained in 2 episodes
• International Conference on Learning Representations — 1× in this paper
• International Conference on Machine Learning — 1× in this paper
• Latent Representation — 1× in this paper · explained in 2 episodes
• Over-squashing — 1× in this paper · explained in 3 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes

Sources

• MG-HGNN: A Heterogeneous GNN Framework for Indoor Wi-Fi Fingerprint-Based Localization
• Hierarchical Stage-Wise Training of Linked Deep Neural Networks for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi RSSI Fingerprinting
• Federated Learning based Hierarchical 3D Indoor Localization

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