Modular Deep Learning for Multivariate Time-Series: Decoupling Imputation and Downstream Tasks
Fuente:
arXiv
Saved in:
| Main Authors: | Raj, Joseph Arul, Qian, Linglong, Ibrahim, Zina |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation
by: Qian, Linglong, et al.
Published: (2024)
by: Qian, Linglong, et al.
Published: (2024)
CSAI: Conditional Self-Attention Imputation for Healthcare Time-series
by: Qian, Linglong, et al.
Published: (2023)
by: Qian, Linglong, et al.
Published: (2023)
METHOD: Modular Efficient Transformer for Health Outcome Discovery
by: Qian, Linglong, et al.
Published: (2025)
by: Qian, Linglong, et al.
Published: (2025)
How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation
by: Qian, Linglong, et al.
Published: (2024)
by: Qian, Linglong, et al.
Published: (2024)
Deep Learning for Multivariate Time Series Imputation: A Survey
by: Wang, Jun, et al.
Published: (2024)
by: Wang, Jun, et al.
Published: (2024)
TSI-Bench: Benchmarking Time Series Imputation
by: Du, Wenjie, et al.
Published: (2024)
by: Du, Wenjie, et al.
Published: (2024)
Beyond Random Missingness: Clinically Rethinking for Healthcare Time Series Imputation
by: Qian, Linglong, et al.
Published: (2024)
by: Qian, Linglong, et al.
Published: (2024)
SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation
by: Eskandari, Amir, et al.
Published: (2024)
by: Eskandari, Amir, et al.
Published: (2024)
Time Series Imputation with Multivariate Radial Basis Function Neural Network
by: Jung, Chanyoung, et al.
Published: (2024)
by: Jung, Chanyoung, et al.
Published: (2024)
Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation
by: Su, Ye, et al.
Published: (2025)
by: Su, Ye, et al.
Published: (2025)
FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation
by: Li, Runze, et al.
Published: (2025)
by: Li, Runze, et al.
Published: (2025)
MTSCI: A Conditional Diffusion Model for Multivariate Time Series Consistent Imputation
by: Zhou, Jianping, et al.
Published: (2024)
by: Zhou, Jianping, et al.
Published: (2024)
Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation
by: Weatherhead, Addison, et al.
Published: (2025)
by: Weatherhead, Addison, et al.
Published: (2025)
Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series
by: Song, Xianhao, et al.
Published: (2026)
by: Song, Xianhao, et al.
Published: (2026)
Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation
by: Liang, Guojun, et al.
Published: (2024)
by: Liang, Guojun, et al.
Published: (2024)
Task-oriented Time Series Imputation Evaluation via Generalized Representers
by: Wang, Zhixian, et al.
Published: (2024)
by: Wang, Zhixian, et al.
Published: (2024)
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation
by: Liang, Guojun, et al.
Published: (2024)
by: Liang, Guojun, et al.
Published: (2024)
Investigating a Model-Agnostic and Imputation-Free Approach for Irregularly-Sampled Multivariate Time-Series Modeling
by: Neog, Abhilash, et al.
Published: (2025)
by: Neog, Abhilash, et al.
Published: (2025)
EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions
by: Chakraborty, Sanjay, et al.
Published: (2024)
by: Chakraborty, Sanjay, et al.
Published: (2024)
Deep Coupling Network For Multivariate Time Series Forecasting
by: Yi, Kun, et al.
Published: (2024)
by: Yi, Kun, et al.
Published: (2024)
Glocal Information Bottleneck for Time Series Imputation
by: Yang, Jie, et al.
Published: (2025)
by: Yang, Jie, et al.
Published: (2025)
PAST: A Primary-Auxiliary Spatio-Temporal Network for Traffic Time Series Imputation
by: Hu, Hanwen, et al.
Published: (2025)
by: Hu, Hanwen, et al.
Published: (2025)
Laplacian Convolutional Representation for Traffic Time Series Imputation
by: Chen, Xinyu, et al.
Published: (2022)
by: Chen, Xinyu, et al.
Published: (2022)
BRATI: Bidirectional Recurrent Attention for Time-Series Imputation
by: Collado-Villaverde, Armando, et al.
Published: (2025)
by: Collado-Villaverde, Armando, et al.
Published: (2025)
TimeDRL: Disentangled Representation Learning for Multivariate Time-Series
by: Chang, Ching, et al.
Published: (2023)
by: Chang, Ching, et al.
Published: (2023)
An Efficient Continual Learning Framework for Multivariate Time Series Prediction Tasks with Application to Vehicle State Estimation
by: Hosseinzadeh, Arvin, et al.
Published: (2025)
by: Hosseinzadeh, Arvin, et al.
Published: (2025)
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
by: Li, Yijun, et al.
Published: (2023)
by: Li, Yijun, et al.
Published: (2023)
Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series
by: Chang, Ching, et al.
Published: (2024)
by: Chang, Ching, et al.
Published: (2024)
Machine Learning-based vs Deep Learning-based Anomaly Detection in Multivariate Time Series for Spacecraft Attitude Sensors
by: Gallon, R., et al.
Published: (2024)
by: Gallon, R., et al.
Published: (2024)
No Imputation Needed: A Switch Approach to Irregularly Sampled Time Series
by: Agarwal, Rohit, et al.
Published: (2023)
by: Agarwal, Rohit, et al.
Published: (2023)
Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations
by: Naour, Etienne Le, et al.
Published: (2023)
by: Naour, Etienne Le, et al.
Published: (2023)
Spectral Manifold Regularization for Stable and Modular Routing in Deep MoE Architectures
by: Delibasoglu, Ibrahim
Published: (2026)
by: Delibasoglu, Ibrahim
Published: (2026)
Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates
by: Yu, Chengqing, et al.
Published: (2025)
by: Yu, Chengqing, et al.
Published: (2025)
Causal Disentanglement Learning for Accurate Anomaly Detection in Multivariate Time Series
by: Kim, Wonah, et al.
Published: (2025)
by: Kim, Wonah, et al.
Published: (2025)
Revisiting Attention for Multivariate Time Series Forecasting
by: Wu, Haixiang
Published: (2024)
by: Wu, Haixiang
Published: (2024)
Are KANs Effective for Multivariate Time Series Forecasting?
by: Han, Xiao, et al.
Published: (2024)
by: Han, Xiao, et al.
Published: (2024)
Nearest Neighbor Multivariate Time Series Forecasting
by: Zhang, Huiliang, et al.
Published: (2025)
by: Zhang, Huiliang, et al.
Published: (2025)
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation
by: Ragab, Mohamed, et al.
Published: (2024)
by: Ragab, Mohamed, et al.
Published: (2024)
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning
by: Nie, Tong, et al.
Published: (2025)
by: Nie, Tong, et al.
Published: (2025)
HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting
by: Wang, Tan, et al.
Published: (2025)
by: Wang, Tan, et al.
Published: (2025)
Similar Items
-
Uncertainty-Aware Deep Attention Recurrent Neural Network for Heterogeneous Time Series Imputation
by: Qian, Linglong, et al.
Published: (2024) -
CSAI: Conditional Self-Attention Imputation for Healthcare Time-series
by: Qian, Linglong, et al.
Published: (2023) -
METHOD: Modular Efficient Transformer for Health Outcome Discovery
by: Qian, Linglong, et al.
Published: (2025) -
How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation
by: Qian, Linglong, et al.
Published: (2024) -
Deep Learning for Multivariate Time Series Imputation: A Survey
by: Wang, Jun, et al.
Published: (2024)