Cover Image

DTMamba : Dual Twin Mamba for Time Series Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Zexue, Gong, Yifeng, Zhang, Aoqian
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multivariate Time Series Cleaning under Speed Constraints
by: Zhang, Aoqian, et al.
Published: (2024)

Sibyl: Forecasting Time-Evolving Query Workloads
by: Huang, Hanxian, et al.
Published: (2024)

MoTime: A Dataset Suite for Multimodal Time Series Forecasting
by: Zhou, Xin, et al.
Published: (2025)

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

TODS: An Automated Time Series Outlier Detection System
by: Lai, Kwei-Herng, et al.
Published: (2020)

TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis
by: Liang, Zhiyu, et al.
Published: (2024)

ImputeGAP: A Comprehensive Library for Time Series Imputation
by: Nater, Quentin, et al.
Published: (2025)

A Survey on Time-Series Distance Measures
by: Paparrizos, John, et al.
Published: (2024)

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

FedST: Secure Federated Shapelet Transformation for Time Series Classification
by: Liang, Zhiyu, et al.
Published: (2023)

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

RAMSeS: Robust and Adaptive Model Selection for Time-Series Anomaly Detection Algorithms
by: Abdelmaksoud, Mohamed, et al.
Published: (2026)

Towards Controllable Time Series Generation
by: Bao, Yifan, et al.
Published: (2024)

UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning
by: Liang, Zhiyu, et al.
Published: (2023)

Sync Without Guesswork: Incomplete Time Series Alignment
by: Jia, Ding, et al.
Published: (2025)

Matrix Profile for Anomaly Detection on Multidimensional Time Series
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)

Raising the ClaSS of Streaming Time Series Segmentation
by: Ermshaus, Arik, et al.
Published: (2023)

CLaP -- State Detection from Time Series
by: Ermshaus, Arik, et al.
Published: (2025)

Is Mamba Effective for Time Series Forecasting?
by: Wang, Zihan, et al.
Published: (2024)

Dive into Time-Series Anomaly Detection: A Decade Review
by: Boniol, Paul, et al.
Published: (2024)

E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series
by: Lai, Zhichen, et al.
Published: (2024)

Bridging the Gap: A Decade Review of Time-Series Clustering Methods
by: Paparrizos, John, et al.
Published: (2024)

Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting
by: Liang, Aobo, et al.
Published: (2024)

Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge
by: Amara-Ouali, Yvenn, et al.
Published: (2023)

KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection
by: Liang, Zhiyu, et al.
Published: (2025)

Cross-Representation Benchmarking in Time-Series Electronic Health Records for Clinical Outcome Prediction
by: Chen, Tianyi, et al.
Published: (2025)

SEAnet: A Deep Learning Architecture for Data Series Similarity Search
by: Wang, Qitong, et al.
Published: (2026)

Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection
by: Wang, Yuanyi, et al.
Published: (2024)

STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting
by: Wang, Hongjun, et al.
Published: (2024)

Inferring the Most Similar Variable-length Subsequences between Multidimensional Time Series
by: Rattanakornphan, Thanadej, et al.
Published: (2025)

Robust Traffic Forecasting against Spatial Shift over Years
by: Wang, Hongjun, et al.
Published: (2024)

L2T-Tune:LLM-Guided Hybrid Database Tuning with LHS and TD3
by: Yang, Xinyue, et al.
Published: (2025)

ms-Mamba: Multi-scale Mamba for Time-Series Forecasting
by: Karadag, Yusuf Meric, et al.
Published: (2025)

TwinFormer: A Dual-Level Transformer for Long-Sequence Time-Series Forecasting
by: Kumavat, Mahima, et al.
Published: (2025)

CaDrift: A Time-dependent Causal Generator of Drifting Data Streams
by: Barboza, Eduardo V. L., et al.
Published: (2026)

Multivariate Time-series Anomaly Detection via Dynamic Model Pool & Ensembling
by: Hu, Wei, et al.
Published: (2026)

DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees
by: Heidari, Alireza, et al.
Published: (2025)

Poodle: Seamlessly Scaling Down Large Language Models with Just-in-Time Model Replacement
by: Strassenburg, Nils, et al.
Published: (2025)

Motiflets -- Simple and Accurate Detection of Motifs in Time Series
by: Schäfer, Patrick, et al.
Published: (2022)

Effective Dataset Distillation for Spatio-Temporal Forecasting with Bi-dimensional Compression
by: Kwon, Taehyung, et al.
Published: (2026)