:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Zhang, Li
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2503.14869
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Causal Discovery from Conditionally Stationary Time Series
by: Balsells-Rodas, Carles, et al.
Published: (2021)

Evaluating Time Series Foundation Models on Noisy Periodic Time Series
by: Gupta, Syamantak Datta
Published: (2025)

Causal Discovery for Irregularly Time Series with Consistency Guarantees
by: Li, Weihong, et al.
Published: (2025)

Efficient Causal Discovery for Autoregressive Time Series
by: Fesanghary, Mohammad, et al.
Published: (2025)

SpaceTime: Causal Discovery from Non-Stationary Time Series
by: Mameche, Sarah, et al.
Published: (2025)

CausalCompass: Evaluating the Robustness of Time-Series Causal Discovery in Misspecified Scenarios
by: Yi, Huiyang, et al.
Published: (2026)

TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models
by: Si, Haotian, et al.
Published: (2024)

MotifDisco: Motif Causal Discovery For Time Series Motifs
by: Lamp, Josephine, et al.
Published: (2024)

Transformer-based Time-Series Biomarker Discovery for COPD Diagnosis
by: Gadgil, Soham, et al.
Published: (2024)

Steering the LoCoMotif: Using Domain Knowledge in Time Series Motif Discovery
by: Yurtman, Aras, et al.
Published: (2025)

Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation Model
by: Jollie, Derek, et al.
Published: (2024)

Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection
by: Liu, Chen, et al.
Published: (2024)

TimeMKG: Knowledge-Infused Causal Reasoning for Multivariate Time Series Modeling
by: Sun, Yifei, et al.
Published: (2025)

Latent Structural Similarity Networks for Unsupervised Discovery in Multivariate Time Series
by: Owoeye, Olusegun
Published: (2026)

A Knowledge-Informed Pretrained Model for Causal Discovery
by: Xu, Wenbo, et al.
Published: (2026)

Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation
by: Liu, Chenxi, et al.
Published: (2025)

An Evaluation of Standard Statistical Models and LLMs on Time Series Forecasting
by: Cao, Rui, et al.
Published: (2024)

DQE: A Semantic-Aware Evaluation Metric for Time Series Anomaly Detection
by: Li, Yuewei, et al.
Published: (2026)

Joint Time Series Chain: Detecting Unusual Evolving Trend across Time Series
by: Zhang, Li, et al.
Published: (2026)

Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting
by: Feng, Wanjin, et al.
Published: (2025)

Causal Discovery in Multivariate Time Series through Mutual Information Featurization
by: Paldino, Gian Marco, et al.
Published: (2025)

Training and Evaluating Causal Forecasting Models for Time-Series
by: Crasson, Thomas, et al.
Published: (2024)

A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph
by: Hao, Shule, et al.
Published: (2025)

THEMIS: Unlocking Pretrained Knowledge with Foundation Model Embeddings for Anomaly Detection in Time Series
by: Lorik, Yadav Mahesh, et al.
Published: (2025)

Beyond Extrapolation: Knowledge Utilization Paradigm with Bidirectional Inspiration for Time Series Forecasting
by: Chong, Liu, et al.
Published: (2026)

LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices
by: Jin, Ruibing, et al.
Published: (2024)

Structural Knowledge Informed Continual Multivariate Time Series Forecasting
by: Pan, Zijie, et al.
Published: (2024)

Synthetic Series-Symbol Data Generation for Time Series Foundation Models
by: Wang, Wenxuan, et al.
Published: (2025)

Continuity and Ordinality Matter: Constraining Time Series Tokens for Effective Time Series Analysis with Large Language Models
by: Li, Musheng, et al.
Published: (2026)

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling
by: Dong, Jiaxiang, et al.
Published: (2024)

Causal Discovery in Semi-Stationary Time Series
by: Gao, Shanyun, et al.
Published: (2024)

Federated Foundation Models on Heterogeneous Time Series
by: Chen, Shengchao, et al.
Published: (2024)

GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
by: Aksu, Taha, et al.
Published: (2024)

TimeFound: A Foundation Model for Time Series Forecasting
by: Xiao, Congxi, et al.
Published: (2025)

Privacy-Aware Time Series Synthesis via Public Knowledge Distillation
by: Liu, Penghang, et al.
Published: (2025)

Online Conformal Model Selection for Nonstationary Time Series
by: Li, Shibo, et al.
Published: (2025)

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series
by: Fan, Shicheng, et al.
Published: (2026)

Discovery of Generalizable TBI Phenotypes Using Multivariate Time-Series Clustering
by: Ghaderi, Hamid, et al.
Published: (2024)

FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling
by: Li, Zhengnan, et al.
Published: (2024)

MONSTER: Monash Scalable Time Series Evaluation Repository
by: Dempster, Angus, et al.
Published: (2025)