Heteroscedastic Neural Networks for Path Loss Prediction with Link-Specific Uncertainty
Fuente:
arXiv
Saved in:
| Main Author: | Ethier, Jonathan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reciprocity-Aware Convolutional Neural Networks for Map-Based Path Loss Prediction
by: Dempsey, Ryan G., et al.
Published: (2025)
by: Dempsey, Ryan G., et al.
Published: (2025)
Map-Based Path Loss Prediction in Multiple Cities Using Convolutional Neural Networks
by: Dempsey, Ryan G., et al.
Published: (2024)
by: Dempsey, Ryan G., et al.
Published: (2024)
Investigating Map-Based Path Loss Models: A Study of Feature Representations in Convolutional Neural Networks
by: Dempsey, Ryan G., et al.
Published: (2025)
by: Dempsey, Ryan G., et al.
Published: (2025)
Environmental Feature Engineering and Statistical Validation for ML-Based Path Loss Prediction
by: Ethier, Jonathan, et al.
Published: (2025)
by: Ethier, Jonathan, et al.
Published: (2025)
ALPCAHUS: Subspace Clustering for Heteroscedastic Data
by: Cavazos, Javier Salazar, et al.
Published: (2025)
by: Cavazos, Javier Salazar, et al.
Published: (2025)
Estimating Rural Path Loss with ITU-R P.1812-7 : Impact of Geospatial Inputs
by: Chateauvert, Mathieu, et al.
Published: (2025)
by: Chateauvert, Mathieu, et al.
Published: (2025)
ALPCAH: Subspace Learning for Sample-wise Heteroscedastic Data
by: Cavazos, Javier Salazar, et al.
Published: (2025)
by: Cavazos, Javier Salazar, et al.
Published: (2025)
Extending Machine Learning Based RF Coverage Predictions to 3D
by: Chen, Muyao, et al.
Published: (2024)
by: Chen, Muyao, et al.
Published: (2024)
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks
by: Furlong, Aidan, et al.
Published: (2024)
by: Furlong, Aidan, et al.
Published: (2024)
Generalization of Geometric Graph Neural Networks with Lipschitz Loss Functions
by: Wang, Zhiyang, et al.
Published: (2024)
by: Wang, Zhiyang, et al.
Published: (2024)
Compression of Site-Specific Deep Neural Networks for Massive MIMO Precoding
by: Kasalaee, Ghazal, et al.
Published: (2025)
by: Kasalaee, Ghazal, et al.
Published: (2025)
Uncertainty Aware Deep Neural Network for Multistatic Localization with Application to Ultrasonic Structural Health Monitoring
by: Khurjekar, Ishan D., et al.
Published: (2020)
by: Khurjekar, Ishan D., et al.
Published: (2020)
On Cokriging, Neural Networks, and Spatial Blind Source Separation for Multivariate Spatial Prediction
by: Muehlmann, Christoph, et al.
Published: (2020)
by: Muehlmann, Christoph, et al.
Published: (2020)
IPP-Net: A Generalizable Deep Neural Network Model for Indoor Pathloss Radio Map Prediction
by: Feng, Bin, et al.
Published: (2025)
by: Feng, Bin, et al.
Published: (2025)
Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks
by: Gueterbock, Finn, et al.
Published: (2025)
by: Gueterbock, Finn, et al.
Published: (2025)
Optimizing Medication Decisions for Patients with Atrial Fibrillation through Path Development Network
by: Xie, Tian
Published: (2024)
by: Xie, Tian
Published: (2024)
Cluster-Specific Predictive Modeling: A Scalable Solution for Resource-Constrained Wi-Fi Controllers
by: Fontanesi, Gianluca, et al.
Published: (2026)
by: Fontanesi, Gianluca, et al.
Published: (2026)
Dual-Path Region-Guided Attention Network for Ground Reaction Force and Moment Regression
by: Li, Xuan, et al.
Published: (2025)
by: Li, Xuan, et al.
Published: (2025)
Distance-Aware Error for Spline Networks: A Bottom-Up Approach to Uncertainty
by: Ataei, Masoud, et al.
Published: (2025)
by: Ataei, Masoud, et al.
Published: (2025)
Urinary Tract Infection Detection in Digital Remote Monitoring: Strategies for Managing Participant-Specific Prediction Complexity
by: Fan, Kexin, et al.
Published: (2025)
by: Fan, Kexin, et al.
Published: (2025)
Binarized Simplicial Convolutional Neural Networks
by: Yan, Yi, et al.
Published: (2024)
by: Yan, Yi, et al.
Published: (2024)
Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks
by: Chen, Lili, et al.
Published: (2025)
by: Chen, Lili, et al.
Published: (2025)
Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks
by: Gao, Zhan, et al.
Published: (2023)
by: Gao, Zhan, et al.
Published: (2023)
Optimizing Neural Network Scale for ECG Classification
by: Lee, Byeong Tak, et al.
Published: (2023)
by: Lee, Byeong Tak, et al.
Published: (2023)
Domain Adaptive Unfolded Graph Neural Networks
by: Zhang, Zepeng, et al.
Published: (2024)
by: Zhang, Zepeng, et al.
Published: (2024)
Improved Image Classification with Manifold Neural Networks
by: Netto, Caio F. Deberaldini, et al.
Published: (2024)
by: Netto, Caio F. Deberaldini, et al.
Published: (2024)
Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learning
by: Nardi, Federico, et al.
Published: (2024)
by: Nardi, Federico, et al.
Published: (2024)
Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks
by: Zhang, Xiaochen, et al.
Published: (2021)
by: Zhang, Xiaochen, et al.
Published: (2021)
Wearable-based Fair and Accurate Pain Assessment Using Multi-Attribute Fairness Loss in Convolutional Neural Networks
by: Zhu, Yidong, et al.
Published: (2023)
by: Zhu, Yidong, et al.
Published: (2023)
Generalization of Graph Neural Networks is Robust to Model Mismatch
by: Wang, Zhiyang, et al.
Published: (2024)
by: Wang, Zhiyang, et al.
Published: (2024)
On Generalization Bounds for Deep Compound Gaussian Neural Networks
by: Lyons, Carter, et al.
Published: (2024)
by: Lyons, Carter, et al.
Published: (2024)
Multi-Target Tracking with Transferable Convolutional Neural Networks
by: Owerko, Damian, et al.
Published: (2022)
by: Owerko, Damian, et al.
Published: (2022)
Exploiting the Structure of Two Graphs with Graph Neural Networks
by: Tenorio, Victor M., et al.
Published: (2024)
by: Tenorio, Victor M., et al.
Published: (2024)
Attentional Graph Neural Network Is All You Need for Robust Massive Network Localization
by: Yan, Wenzhong, et al.
Published: (2023)
by: Yan, Wenzhong, et al.
Published: (2023)
On the Optimality of Single-label and Multi-label Neural Network Decoders
by: Gültekin, Yunus Can, et al.
Published: (2025)
by: Gültekin, Yunus Can, et al.
Published: (2025)
CoVariance Filters and Neural Networks over Hilbert Spaces
by: Battiloro, Claudio, et al.
Published: (2025)
by: Battiloro, Claudio, et al.
Published: (2025)
Study on Downlink CSI compression: Are Neural Networks the Only Solution?
by: Praneeth, K. Sai, et al.
Published: (2025)
by: Praneeth, K. Sai, et al.
Published: (2025)
On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective
by: Zhang, Ning, et al.
Published: (2025)
by: Zhang, Ning, et al.
Published: (2025)
Solving Large-scale Spatial Problems with Convolutional Neural Networks
by: Owerko, Damian, et al.
Published: (2023)
by: Owerko, Damian, et al.
Published: (2023)
Adaptive Least Mean pth Power Graph Neural Networks
by: Yan, Yi, et al.
Published: (2024)
by: Yan, Yi, et al.
Published: (2024)
Similar Items
-
Reciprocity-Aware Convolutional Neural Networks for Map-Based Path Loss Prediction
by: Dempsey, Ryan G., et al.
Published: (2025) -
Map-Based Path Loss Prediction in Multiple Cities Using Convolutional Neural Networks
by: Dempsey, Ryan G., et al.
Published: (2024) -
Investigating Map-Based Path Loss Models: A Study of Feature Representations in Convolutional Neural Networks
by: Dempsey, Ryan G., et al.
Published: (2025) -
Environmental Feature Engineering and Statistical Validation for ML-Based Path Loss Prediction
by: Ethier, Jonathan, et al.
Published: (2025) -
ALPCAHUS: Subspace Clustering for Heteroscedastic Data
by: Cavazos, Javier Salazar, et al.
Published: (2025)