Deciphering Invariant Feature Decoupling in Source-free Time Series Forecasting with Proxy Denoising
Fuente:
arXiv
Saved in:
| Main Authors: | Yan, Kangjia, Liu, Chenxi, Miao, Hao, Wu, Xinle, Zhao, Yan, Guo, Chenjuan, Yang, Bin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MM-ISTS: Cooperating Irregularly Sampled Time Series Forecasting with Multimodal Vision-Text LLMs
by: Lei, Zhi, et al.
Published: (2026)
by: Lei, Zhi, et al.
Published: (2026)
Fully Automated Correlated Time Series Forecasting in Minutes
by: Wu, Xinle, et al.
Published: (2024)
by: Wu, Xinle, et al.
Published: (2024)
GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables
by: Li, Zhengyu, et al.
Published: (2026)
by: Li, Zhengyu, et al.
Published: (2026)
$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
by: Wu, Xingjian, et al.
Published: (2025)
by: Wu, Xingjian, et al.
Published: (2025)
CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter
by: Cheng, Hanyin, et al.
Published: (2026)
by: Cheng, Hanyin, et al.
Published: (2026)
ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting
by: Tian, Jindong, et al.
Published: (2025)
by: Tian, Jindong, et al.
Published: (2025)
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2024)
by: Qiu, Xiangfei, et al.
Published: (2024)
LLMs Meet Cross-Modal Time Series Analytics: Overview and Directions
by: Liu, Chenxi, et al.
Published: (2025)
by: Liu, Chenxi, et al.
Published: (2025)
Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting
by: Wang, Siyuan, et al.
Published: (2026)
by: Wang, Siyuan, et al.
Published: (2026)
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
by: Liu, Chenxi, et al.
Published: (2024)
by: Liu, Chenxi, et al.
Published: (2024)
PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering
by: Lu, Junkai, et al.
Published: (2026)
by: Lu, Junkai, et al.
Published: (2026)
Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching--Extended Version
by: Miao, Hao, et al.
Published: (2024)
by: Miao, Hao, et al.
Published: (2024)
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
by: Qiu, Xiangfei, et al.
Published: (2024)
by: Qiu, Xiangfei, et al.
Published: (2024)
Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2026)
by: Qiu, Xiangfei, et al.
Published: (2026)
Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning
by: Zhao, Kai, et al.
Published: (2024)
by: Zhao, Kai, et al.
Published: (2024)
DBLoss: Decomposition-based Loss Function for Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2025)
by: Qiu, Xiangfei, et al.
Published: (2025)
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching
by: Wu, Xingjian, et al.
Published: (2024)
by: Wu, Xingjian, et al.
Published: (2024)
Aurora: Towards Universal Generative Multimodal Time Series Forecasting
by: Wu, Xingjian, et al.
Published: (2025)
by: Wu, Xingjian, et al.
Published: (2025)
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
by: Liu, Haoxin, et al.
Published: (2024)
by: Liu, Haoxin, et al.
Published: (2024)
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline
by: Liu, Xvyuan, et al.
Published: (2025)
by: Liu, Xvyuan, et al.
Published: (2025)
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
by: Liu, Sicong, et al.
Published: (2025)
by: Liu, Sicong, et al.
Published: (2025)
ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting
by: Liu, Xvyuan, et al.
Published: (2025)
by: Liu, Xvyuan, et al.
Published: (2025)
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables
by: Lu, Jiecheng, et al.
Published: (2024)
by: Lu, Jiecheng, et al.
Published: (2024)
Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing
by: Lu, Junkai, et al.
Published: (2025)
by: Lu, Junkai, et al.
Published: (2025)
Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting
by: Liu, Zhixin, et al.
Published: (2026)
by: Liu, Zhixin, et al.
Published: (2026)
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)
FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting
by: Wu, Xingjian, et al.
Published: (2025)
by: Wu, Xingjian, et al.
Published: (2025)
FlowState: Sampling Rate Invariant Time Series Forecasting
by: Graf, Lars, et al.
Published: (2025)
by: Graf, Lars, et al.
Published: (2025)
CC-Time: Cross-Model and Cross-Modality Time Series Forecasting
by: Chen, Peng, et al.
Published: (2025)
by: Chen, Peng, et al.
Published: (2025)
Conversational Time Series Foundation Models: Towards Explainable and Effective Forecasting
by: Cao, Defu, et al.
Published: (2025)
by: Cao, Defu, et al.
Published: (2025)
WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting
by: Lu, Jiecheng, et al.
Published: (2024)
by: Lu, Jiecheng, et al.
Published: (2024)
A Mamba Foundation Model for Time Series Forecasting
by: Ma, Haoyu, et al.
Published: (2024)
by: Ma, Haoyu, et al.
Published: (2024)
Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective
by: Wu, Xingjian, et al.
Published: (2025)
by: Wu, Xingjian, et al.
Published: (2025)
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation
by: Liu, Chenxi, et al.
Published: (2025)
by: Liu, Chenxi, et al.
Published: (2025)
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)
Proxy Denoising for Source-Free Domain Adaptation
by: Tang, Song, et al.
Published: (2024)
by: Tang, Song, et al.
Published: (2024)
Performative Time-Series Forecasting
by: Zhao, Zhiyuan, et al.
Published: (2023)
by: Zhao, Zhiyuan, et al.
Published: (2023)
StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequency Guided Denoiser
by: Zhang, Jintao, et al.
Published: (2026)
by: Zhang, Jintao, et al.
Published: (2026)
Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with Proxy
by: Zhu, Yu, et al.
Published: (2024)
by: Zhu, Yu, et al.
Published: (2024)
Numerion: A Multi-Hypercomplex Model for Time Series Forecasting
by: Cao, Hanzhong, et al.
Published: (2025)
by: Cao, Hanzhong, et al.
Published: (2025)
Similar Items
-
MM-ISTS: Cooperating Irregularly Sampled Time Series Forecasting with Multimodal Vision-Text LLMs
by: Lei, Zhi, et al.
Published: (2026) -
Fully Automated Correlated Time Series Forecasting in Minutes
by: Wu, Xinle, et al.
Published: (2024) -
GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables
by: Li, Zhengyu, et al.
Published: (2026) -
$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
by: Wu, Xingjian, et al.
Published: (2025) -
CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter
by: Cheng, Hanyin, et al.
Published: (2026)