:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Xinle, Wu, Xingjian, Zhang, Dalin, Zhang, Miao, Guo, Chenjuan, Yang, Bin, Jensen, Christian S.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2411.05833
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deciphering Invariant Feature Decoupling in Source-free Time Series Forecasting with Proxy Denoising
by: Yan, Kangjia, et al.
Published: (2025)

DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2024)

A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective
by: Qiu, Xiangfei, et al.
Published: (2025)

CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter
by: Cheng, Hanyin, et al.
Published: (2026)

Aurora: Towards Universal Generative Multimodal Time Series Forecasting
by: Wu, Xingjian, et al.
Published: (2025)

DBLoss: Decomposition-based Loss Function for Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2025)

TimeART: Towards Agentic Time Series Reasoning via Tool-Augmentation
by: Wu, Xingjian, et al.
Published: (2026)

Hermes: A Multi-Scale Spatial-Temporal Hypergraph Network for Stock Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2025)

FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting
by: Wu, Xingjian, et al.
Published: (2025)

Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline
by: Liu, Xvyuan, et al.
Published: (2025)

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
by: Wu, Xingjian, et al.
Published: (2025)

ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting
by: Liu, Xvyuan, et al.
Published: (2025)

Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective
by: Wu, Xingjian, et al.
Published: (2025)

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
by: Qiu, Xiangfei, et al.
Published: (2024)

GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables
by: Li, Zhengyu, et al.
Published: (2026)

EasyTime: Time Series Forecasting Made Easy
by: Qiu, Xiangfei, et al.
Published: (2024)

Data Driven Decision Making with Time Series and Spatio-temporal Data
by: Yang, Bin, et al.
Published: (2025)

Task-Aware Mixture-of-Experts for Time Series Analysis
by: Wu, Xingjian, et al.
Published: (2025)

TimeBlocks: Foundational and Continual Time-Series Blockbase -- Extended Version
by: Campos, David, et al.
Published: (2026)

DAG: A Dual Correlation Network for Time Series Forecasting with Exogenous Variables
by: Qiu, Xiangfei, et al.
Published: (2025)

Gaussian Process Latent Variable Modeling for Few-shot Time Series Forecasting
by: Cheng, Yunyao, et al.
Published: (2022)

TAB: Unified Benchmarking of Time Series Anomaly Detection Methods
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)

Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing
by: Lu, Junkai, et al.
Published: (2025)

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
by: Chen, Peng, et al.
Published: (2024)

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version
by: Campos, David, et al.
Published: (2024)

Empowering Time Series Analysis with Large-Scale Multimodal Pretraining
by: Chen, Peng, et al.
Published: (2026)

SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement
by: Qiu, Xiangfei, et al.
Published: (2026)

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles -- Extended Version
by: Campos, David, et al.
Published: (2021)

TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting
by: Li, Zhe, et al.
Published: (2024)

An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data--Extended Version
by: Zhang, Buang, et al.
Published: (2025)

Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning
by: Zhao, Kai, et al.
Published: (2024)

CC-Time: Cross-Model and Cross-Modality Time Series Forecasting
by: Chen, Peng, et al.
Published: (2025)

LightGTS: A Lightweight General Time Series Forecasting Model
by: Wang, Yihang, et al.
Published: (2025)

Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer
by: Wang, Yihang, et al.
Published: (2024)

SwiftTS: A Swift Selection Framework for Time Series Pre-trained Models via Multi-task Meta-Learning
by: Zhang, Tengxue, et al.
Published: (2025)

Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models
by: Wu, Xingjian, et al.
Published: (2026)

ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting
by: Tian, Jindong, et al.
Published: (2025)

Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction
by: Hu, Shiyan, et al.
Published: (2026)

PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering
by: Lu, Junkai, et al.
Published: (2026)