Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Jintao, Cheng, Mingyue, Tao, Xiaoyu, Liu, Zhiding, Wang, Daoyu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting
by: Liu, Yaguo, et al.
Published: (2026)
by: Liu, Yaguo, et al.
Published: (2026)
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
by: Wang, Daoyu, et al.
Published: (2024)
by: Wang, Daoyu, et al.
Published: (2024)
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)
Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting
by: Cheng, Mingyue, et al.
Published: (2025)
by: Cheng, Mingyue, et al.
Published: (2025)
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders
by: Cheng, Mingyue, et al.
Published: (2023)
by: Cheng, Mingyue, et al.
Published: (2023)
From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization
by: Tao, Xiaoyu, et al.
Published: (2025)
by: Tao, Xiaoyu, et al.
Published: (2025)
Generative Pretrained Hierarchical Transformer for Time Series Forecasting
by: Liu, Zhiding, et al.
Published: (2024)
by: Liu, Zhiding, et al.
Published: (2024)
A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension
by: Cheng, Mingyue, et al.
Published: (2024)
by: Cheng, Mingyue, et al.
Published: (2024)
Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs
by: Zhou, Yitong, et al.
Published: (2025)
by: Zhou, Yitong, et al.
Published: (2025)
Position: Beyond Model-Centric Prediction -- Agentic Time Series Forecasting
by: Cheng, Mingyue, et al.
Published: (2026)
by: Cheng, Mingyue, et al.
Published: (2026)
MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning
by: Tao, Xiaoyu, et al.
Published: (2026)
by: Tao, Xiaoyu, et al.
Published: (2026)
CastFlow: Learning Role-Specialized Agentic Workflows for Time Series Forecasting
by: Pan, Bokai, et al.
Published: (2026)
by: Pan, Bokai, et al.
Published: (2026)
Improving Time Series Forecasting via Instance-aware Post-hoc Revision
by: Liu, Zhiding, et al.
Published: (2025)
by: Liu, Zhiding, et al.
Published: (2025)
Advancing Time Series Classification with Multimodal Language Modeling
by: Cheng, Mingyue, et al.
Published: (2024)
by: Cheng, Mingyue, et al.
Published: (2024)
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting
by: Liu, Zhiding, et al.
Published: (2024)
by: Liu, Zhiding, et al.
Published: (2024)
Cast-R1: Learning Tool-Augmented Sequential Decision Policies for Time Series Forecasting
by: Tao, Xiaoyu, et al.
Published: (2026)
by: Tao, Xiaoyu, et al.
Published: (2026)
InstructTime++: Time Series Classification with Multimodal Language Modeling via Implicit Feature Enhancement
by: Cheng, Mingyue, et al.
Published: (2026)
by: Cheng, Mingyue, et al.
Published: (2026)
Cross-Domain Pre-training with Language Models for Transferable Time Series Representations
by: Cheng, Mingyue, et al.
Published: (2024)
by: Cheng, Mingyue, et al.
Published: (2024)
TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models
by: Wang, Jiahao, et al.
Published: (2024)
by: Wang, Jiahao, et al.
Published: (2024)
Deciphering Invariant Feature Decoupling in Source-free Time Series Forecasting with Proxy Denoising
by: Yan, Kangjia, et al.
Published: (2025)
by: Yan, Kangjia, et al.
Published: (2025)
Towards Stable and Structured Time Series Generation with Perturbation-Aware Flow Matching
by: Zhang, Jintao, et al.
Published: (2025)
by: Zhang, Jintao, et al.
Published: (2025)
AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning
by: Tao, Xiaoyu, et al.
Published: (2026)
by: Tao, Xiaoyu, et al.
Published: (2026)
OneCast: Structured Decomposition and Modular Generation for Cross-Domain Time Series Forecasting
by: Pan, Tingyue, et al.
Published: (2025)
by: Pan, Tingyue, et al.
Published: (2025)
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification
by: Tao, Xiaoyu, et al.
Published: (2024)
by: Tao, Xiaoyu, et al.
Published: (2024)
Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting
by: Hu, Yifan, et al.
Published: (2024)
by: Hu, Yifan, et al.
Published: (2024)
PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes
by: Zhou, Yiming, et al.
Published: (2026)
by: Zhou, Yiming, et al.
Published: (2026)
Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation
by: Li, Li, et al.
Published: (2024)
by: Li, Li, et al.
Published: (2024)
Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
by: Yang, Yanfeng, et al.
Published: (2025)
by: Yang, Yanfeng, et al.
Published: (2025)
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis
by: Cheng, Mingyue, et al.
Published: (2024)
by: Cheng, Mingyue, et al.
Published: (2024)
CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models
by: Wang, Xiaorui, et al.
Published: (2026)
by: Wang, Xiaorui, et al.
Published: (2026)
Forecasting as Rendering: A 2D Gaussian Splatting Framework for Time Series Forecasting
by: Wang, Yixin, et al.
Published: (2026)
by: Wang, Yixin, et al.
Published: (2026)
Time Tracker: Mixture-of-Experts-Enhanced Foundation Time Series Forecasting Model with Decoupled Training Pipelines
by: Liang, Aobo, et al.
Published: (2025)
by: Liang, Aobo, et al.
Published: (2025)
TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting
by: Hu, Yifan, et al.
Published: (2025)
by: Hu, Yifan, et al.
Published: (2025)
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)
Amortized Predictability-aware Training Framework for Time Series Forecasting and Classification
by: Zhang, Xu, et al.
Published: (2026)
by: Zhang, Xu, et al.
Published: (2026)
FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities
by: Xiao, Jingge, et al.
Published: (2024)
by: Xiao, Jingge, et al.
Published: (2024)
HRS: Hybrid Representation Framework with Scheduling Awareness for Time Series Forecasting in Crowdsourced Cloud-Edge Platforms
by: Zhang, Tiancheng, et al.
Published: (2025)
by: Zhang, Tiancheng, et al.
Published: (2025)
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series
by: Nikitin, Alexander, et al.
Published: (2023)
by: Nikitin, Alexander, et al.
Published: (2023)
WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion Models
by: Shankar, Aditya, et al.
Published: (2025)
by: Shankar, Aditya, et al.
Published: (2025)
From Noise to Laws: Regularized Time-Series Forecasting via Denoised Dynamic Graphs
by: Ma, Hongwei, et al.
Published: (2025)
by: Ma, Hongwei, et al.
Published: (2025)
Similar Items
-
CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting
by: Liu, Yaguo, et al.
Published: (2026) -
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
by: Wang, Daoyu, et al.
Published: (2024) -
StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequency Guided Denoiser
by: Zhang, Jintao, et al.
Published: (2026) -
Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting
by: Cheng, Mingyue, et al.
Published: (2025) -
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders
by: Cheng, Mingyue, et al.
Published: (2023)