Cover Image

NeuralPrefix: A Zero-shot Sensory Data Imputation Plugin

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khamis, Abdelwahed, Khalifa, Sara
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey
by: Khamis, Abdelwahed, et al.
Published: (2023)

Topological Deep Learning: A Review of an Emerging Paradigm
by: Zia, Ali, et al.
Published: (2023)

TabINR: An Implicit Neural Representation Framework for Tabular Data Imputation
by: Ochs, Vincent, et al.
Published: (2025)

Generative Data Imputation for Sparse Learner Performance Data Using Generative Adversarial Imputation Networks
by: Zhang, Liang, et al.
Published: (2025)

Tripartite-GraphRAG via Plugin Ontologies
by: Banf, Michael, et al.
Published: (2025)

Prefix Grouper: Efficient GRPO Training through Shared-Prefix Forward
by: Liu, Zikang, et al.
Published: (2025)

Pavement Missing Condition Data Imputation through Collective Learning-Based Graph Neural Networks
by: Yu, Ke, et al.
Published: (2026)

ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data
by: Li, Mengxuan, et al.
Published: (2025)

Quantum-Accelerated Neural Imputation with Large Language Models (LLMs)
by: Jamali, Hossein
Published: (2025)

Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
by: Wang, Hui-Po, et al.
Published: (2024)

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion
by: He, Wenying, et al.
Published: (2025)

An Interdisciplinary and Cross-Task Review on Missing Data Imputation
by: Fan, Jicong
Published: (2025)

A Foundation Model for Zero-shot Logical Query Reasoning
by: Galkin, Mikhail, et al.
Published: (2024)

Enhancing Semi-supervised Learning with Zero-shot Pseudolabels
by: Chung, Jichan, et al.
Published: (2025)

Zero-shot Imitation Learning by Latent Topology Mapping
by: Jacobson, Maxwell J., et al.
Published: (2026)

Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations
by: Naour, Etienne Le, et al.
Published: (2023)

Time Series Imputation with Multivariate Radial Basis Function Neural Network
by: Jung, Chanyoung, et al.
Published: (2024)

Impugan: Learning Conditional Generative Models for Robust Data Imputation
by: Mahmud, Zalish, et al.
Published: (2025)

To Predict or Not To Predict? Proportionally Masked Autoencoders for Tabular Data Imputation
by: Kim, Jungkyu, et al.
Published: (2024)

CINDI: Conditional Imputation and Noisy Data Integrity with Flows in Power Grid Data
by: Baumgartner, David, et al.
Published: (2026)

CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
by: Ding, Jianrong, et al.
Published: (2024)

RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation
by: Liu, Zijin, et al.
Published: (2024)

Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts
by: Zhang, Yifan, et al.
Published: (2024)

Zero-shot causal learning
by: Nilforoshan, Hamed, et al.
Published: (2023)

Deep Time-Series Models Meet Volatility: Multi-Horizon Electricity Price Forecasting in the Australian National Electricity Market
by: Gani, Mohammed Osman, et al.
Published: (2026)

stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation
by: Li, Xiaoyu, et al.
Published: (2024)

OTTER: Effortless Label Distribution Adaptation of Zero-shot Models
by: Shin, Changho, et al.
Published: (2024)

Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
by: Chen, Zixiang, et al.
Published: (2023)

Cooperative Open-ended Learning Framework for Zero-shot Coordination
by: Li, Yang, et al.
Published: (2023)

PrefixGPT: Prefix Adder Optimization by a Generative Pre-trained Transformer
by: Ding, Ruogu, et al.
Published: (2025)

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
by: Jin, Ming, et al.
Published: (2023)

Missing Data Multiple Imputation for Tabular Q-Learning in Online RL
by: Chasalow, Kyla, et al.
Published: (2025)

RefiDiff: Progressive Refinement Diffusion for Efficient Missing Data Imputation
by: Ahamed, Md Atik, et al.
Published: (2025)

MissHDD: Hybrid Deterministic Diffusion for Hetrogeneous Incomplete Data Imputation
by: Zhou, Youran, et al.
Published: (2025)

STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation
by: Wang, Yiming, et al.
Published: (2025)

Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation
by: Su, Ye, et al.
Published: (2025)

GATech at AbjadMed: Bidirectional Encoders vs. Causal Decoders: Insights from 82-Class Arabic Medical Classification
by: Khamis, Ahmed Khaled
Published: (2026)

tBayes-MICE: A Bayesian Approach to Multiple Imputation for Time Series Data
by: Ibenegbu, Amuche, et al.
Published: (2026)

Bias-Restrained Prefix Representation Finetuning for Mathematical Reasoning
by: Liang, Sirui, et al.
Published: (2025)

Fast and Effective On-policy Distillation from Reasoning Prefixes
by: Zhang, Dongxu, et al.
Published: (2026)