TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation
Fuente:
arXiv
Saved in:
| Main Authors: | Leppich, Robert, Stenger, Michael, Grillmeyer, Daniel, Borst, Vanessa, Kounev, Samuel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Time Series Representation Models
by: Leppich, Robert, et al.
Published: (2024)
by: Leppich, Robert, et al.
Published: (2024)
STEB: In Search of the Best Evaluation Approach for Synthetic Time Series
by: Stenger, Michael, et al.
Published: (2025)
by: Stenger, Michael, et al.
Published: (2025)
Decomposing the Time Series Forecasting Pipeline: A Modular Approach for Time Series Representation, Information Extraction, and Projection
by: Leppich, Robert, et al.
Published: (2025)
by: Leppich, Robert, et al.
Published: (2025)
Comprehensive Exploration of Synthetic Data Generation: A Survey
by: Bauer, André, et al.
Published: (2024)
by: Bauer, André, et al.
Published: (2024)
Are General-Purpose Vision Models All We Need for 2D Medical Image Segmentation? A Cross-Dataset Empirical Study
by: Borst, Vanessa, et al.
Published: (2026)
by: Borst, Vanessa, et al.
Published: (2026)
Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices
by: Borst, Vanessa, et al.
Published: (2024)
by: Borst, Vanessa, et al.
Published: (2024)
BinConv: A Neural Architecture for Ordinal Encoding in Time-Series Forecasting
by: Chernov, Andrei, et al.
Published: (2025)
by: Chernov, Andrei, et al.
Published: (2025)
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)
HELIX: Hybrid Encoding with Learnable Identity and Cross-dimensional Synthesis for Time Series Imputation
by: Zhang, Fengming, et al.
Published: (2026)
by: Zhang, Fengming, et al.
Published: (2026)
SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation
by: Eskandari, Amir, et al.
Published: (2024)
by: Eskandari, Amir, 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)
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)
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)
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
by: Jin, Ming, et al.
Published: (2023)
by: Jin, Ming, et al.
Published: (2023)
Hierarchical Time Series Forecasting Via Latent Mean Encoding
by: Salatiello, Alessandro, et al.
Published: (2025)
by: Salatiello, Alessandro, et al.
Published: (2025)
Nested Spatio-Temporal Time Series Forecasting
by: Ai, Yinghao, et al.
Published: (2026)
by: Ai, Yinghao, et al.
Published: (2026)
On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
by: Fu, Yisong, et al.
Published: (2024)
by: Fu, Yisong, et al.
Published: (2024)
TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting
by: Xia, Mingyuan, et al.
Published: (2025)
by: Xia, Mingyuan, et al.
Published: (2025)
TSI-Bench: Benchmarking Time Series Imputation
by: Du, Wenjie, et al.
Published: (2024)
by: Du, Wenjie, 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)
STDiff: A State Transition Diffusion Framework for Time Series Imputation in Industrial Systems
by: Simethy, Gary, et al.
Published: (2025)
by: Simethy, Gary, et al.
Published: (2025)
TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular Data
by: Suh, Namjoon, et al.
Published: (2024)
by: Suh, Namjoon, 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)
FEATHer: Fourier-Efficient Adaptive Temporal Hierarchy Forecaster for Time-Series Forecasting
by: Lee, Jaehoon, et al.
Published: (2026)
by: Lee, Jaehoon, et al.
Published: (2026)
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)
Enhancing Multivariate Time Series Forecasting with Global Temporal Retrieval
by: Cao, Fanpu, et al.
Published: (2026)
by: Cao, Fanpu, et al.
Published: (2026)
Context Matters: Leveraging Contextual Features for Time Series Forecasting
by: Chattopadhyay, Sameep, et al.
Published: (2024)
by: Chattopadhyay, Sameep, 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)
FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting
by: Ouyang, Pengpeng, et al.
Published: (2025)
by: Ouyang, Pengpeng, et al.
Published: (2025)
Towards Lightweight Time Series Forecasting: a Patch-wise Transformer with Weak Data Enriching
by: Wang, Meng, et al.
Published: (2025)
by: Wang, Meng, 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)
Time Series Imputation with Multivariate Radial Basis Function Neural Network
by: Jung, Chanyoung, et al.
Published: (2024)
by: Jung, Chanyoung, et al.
Published: (2024)
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)
Task-oriented Time Series Imputation Evaluation via Generalized Representers
by: Wang, Zhixian, et al.
Published: (2024)
by: Wang, Zhixian, et al.
Published: (2024)
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting
by: Zhou, Han, et al.
Published: (2024)
by: Zhou, Han, et al.
Published: (2024)
TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting
by: Feng, Shibo, et al.
Published: (2025)
by: Feng, Shibo, et al.
Published: (2025)
Hierarchical Information-Guided Spatio-Temporal Mamba for Stock Time Series Forecasting
by: Yan, Wenbo, et al.
Published: (2025)
by: Yan, Wenbo, et al.
Published: (2025)
Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting
by: Jin, Ming, et al.
Published: (2023)
by: Jin, Ming, et al.
Published: (2023)
Similar Items
-
Time Series Representation Models
by: Leppich, Robert, et al.
Published: (2024) -
STEB: In Search of the Best Evaluation Approach for Synthetic Time Series
by: Stenger, Michael, et al.
Published: (2025) -
Decomposing the Time Series Forecasting Pipeline: A Modular Approach for Time Series Representation, Information Extraction, and Projection
by: Leppich, Robert, et al.
Published: (2025) -
Comprehensive Exploration of Synthetic Data Generation: A Survey
by: Bauer, André, et al.
Published: (2024) -
Are General-Purpose Vision Models All We Need for 2D Medical Image Segmentation? A Cross-Dataset Empirical Study
by: Borst, Vanessa, et al.
Published: (2026)