Cover Image

On the Optimality of Single-label and Multi-label Neural Network Decoders

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gültekin, Yunus Can, Scheepers, Péter, Yuan, Yuncheng, Corradi, Federico, Alvarado, Alex
Format:	Preprint
Published:	2025
Subjects:	Signal Processing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Design and Performance of Machine Learning Based Error Correcting Decoders
by: Yuan, Yuncheng, et al.
Published: (2024)

Beyond 200 Gb/s/lane: An Analytical Approach to Optimal Detection in Shaped IM-DD Optical Links with Relative Intensity Noise
by: Villenas, Felipe, et al.
Published: (2025)

Syndrome Adaptive Gain Control for Min-Sum Decoding of Quantum LDPC Codes
by: Cordova, Hernan, et al.
Published: (2026)

A New 5 bit/2D-symbol Modulation Format for Relative Intensity Noise-dominated IM-DD Systems
by: Villenas, Felipe, et al.
Published: (2025)

On Geometric Shaping for 400 Gbps IM-DD Links with Laser Intensity Noise
by: Villenas, Felipe, et al.
Published: (2025)

Generative Resident Separation and Multi-label Classification for Multi-person Activity Recognition
by: Chen, Xi, et al.
Published: (2024)

On Error Rate Approximations for FSO Systems with Weak Turbulence and Pointing Errors
by: Roa, Carmen Álvarez, et al.
Published: (2025)

Bayesian uncertainty-aware deep learning with noisy labels: Tackling annotation ambiguity in EEG seizure detection
by: Shama, Deeksha M., et al.
Published: (2024)

xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM
by: Kang, Lei, et al.
Published: (2025)

Introducing 4D Geometric Shell Shaping for Mitigating Nonlinear Interference Noise
by: Goossens, Sebastiaan, et al.
Published: (2022)

SSDLabeler: Realistic semi-synthetic data generation for multi-label artifact classification in EEG
by: Akama, Taketo, et al.
Published: (2025)

Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learning
by: Nardi, Federico, et al.
Published: (2024)

EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks
by: Han, Jinpei, et al.
Published: (2023)

Learning Exemplar Representations in Single-Trial EEG Category Decoding
by: Kilgallen, Jack, et al.
Published: (2024)

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks
by: Chen, Lili, et al.
Published: (2025)

Multi-Target Tracking with Transferable Convolutional Neural Networks
by: Owerko, Damian, et al.
Published: (2022)

On Irradiance Distributions for Weakly Turbulent FSO Links: Log-Normal vs. Gamma-Gamma
by: Roa, Carmen Álvarez, et al.
Published: (2025)

Advancing Single-Snapshot DOA Estimation with Siamese Neural Networks for Sparse Linear Arrays
by: Zheng, Ruxin, et al.
Published: (2025)

Non-invasive Neural Decoding in Source Reconstructed Brain Space
by: Gideoni, Yonatan, et al.
Published: (2024)

GCMCG: A Clustering-Aware Graph Attention and Expert Fusion Network for Multi-Paradigm, Multi-task, and Cross-Subject EEG Decoding
by: Chen, Yiqiao, et al.
Published: (2025)

Deep Riemannian Networks for End-to-End EEG Decoding
by: Wilson, Daniel, et al.
Published: (2022)

Graph Neural Networks for Resource Allocation in Interference-limited Multi-Channel Wireless Networks with QoS Constraints
by: Chen, Lili, et al.
Published: (2025)

RPNT: Robust Pre-trained Neural Transformer -- A Pathway for Generalized Motor Decoding
by: Fang, Hao, et al.
Published: (2026)

Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G Networks
by: Kwak, Hee-Youl, et al.
Published: (2024)

EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding
by: Fu, Xi, et al.
Published: (2025)

The use of Multi-domain Electroencephalogram Representations in the building of Models based on Convolutional and Recurrent Neural Networks for Epilepsy Detection
by: Anghinoni, Luiz Antonio Nicolau, et al.
Published: (2025)

Binarized Simplicial Convolutional Neural Networks
by: Yan, Yi, et al.
Published: (2024)

Phase-Aware Code-Aided EM Algorithm for Blind Channel Estimation in PSK-Modulated OFDM
by: Chen, Chin-Hung, et al.
Published: (2025)

Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks
by: Gao, Zhan, et al.
Published: (2023)

Optimizing Neural Network Scale for ECG Classification
by: Lee, Byeong Tak, et al.
Published: (2023)

Domain Adaptive Unfolded Graph Neural Networks
by: Zhang, Zepeng, et al.
Published: (2024)

Improved Image Classification with Manifold Neural Networks
by: Netto, Caio F. Deberaldini, et al.
Published: (2024)

Exploring Deep Learning Models for EEG Neural Decoding
by: Dixen, Laurits, et al.
Published: (2025)

Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks
by: Zhang, Xiaochen, et al.
Published: (2021)

Deep Learning Based Sphere Decoding
by: Mohammadkarimi, Mostafa, et al.
Published: (2018)

Generalization of Graph Neural Networks is Robust to Model Mismatch
by: Wang, Zhiyang, et al.
Published: (2024)

On Generalization Bounds for Deep Compound Gaussian Neural Networks
by: Lyons, Carter, et al.
Published: (2024)

Exploiting the Structure of Two Graphs with Graph Neural Networks
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)

TAnet: A New Temporal Attention Network for EEG-based Auditory Spatial Attention Decoding with a Short Decision Window
by: Ding, Yuting, et al.
Published: (2024)