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multivariate time series

139 papers

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Also known as

MTS

Co-occurring keywords

time series forecasting (364) attention mechanism (4001) anomaly detection (747) representation learning (6206) graph neural network (3962) convolutional neural network (4226) time series classification (97) time series (435) time series imputation (19) transformer architecture (1560)

Papers

CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift AAAI 2026
State-Derivative-Aware Neural Controlled Differential Equations for Multivariate Time Series Anomaly Detection and Diagnosis AAAI 2026
Transparent Networks for Multivariate Time Series AAAI 2026
EdgeMTSC: A Lightweight Large-Kernel ConvNet for Multivariate Time Series Classification AAAI 2026
TimeCAP: A Channel-Aware Pre-Training Framework for Multivariate Time Series Forecasting AAAI 2026
Role Hypergraph Contrastive Learning for Multivariate Time-Series Analysis AAAI 2026
HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting AAAI 2026
EMAformer: Enhancing Transformer Through Embedding Armor for Time Series Forecasting AAAI 2026
CompRestacking: Capturing Channel Dependency in Highly Correlated Multivariate Time Series Data (Student Abstract) AAAI 2026
Is the Attention Matrix Really the Key to Self-Attention in Multivariate Long-Term Time Series Forecasting? ACL 2026
Multivariate Functional Linear Discriminant Analysis for Partially-Observed Time Series (Abstract Reprint) AAAI 2026
Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting AAAI 2026
Learnable Matrix Profile for Motif Discovery on Multivariate Time Series AAAI 2026
M3Time: LLM-Enhanced Multi-Modal, Multi-Scale, and Multi-Frequency Multivariate Time Series Forecasting AAAI 2026
Counterfactual eXplainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification AAAI 2026
TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding AAAI 2026
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality AAAI 2025
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting AAAI 2025
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting AAAI 2025
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows AAAI 2025
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting AAAI 2025
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification AAAI 2025
HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting AAAI 2025
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data AAAI 2025
Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes IJCAI 2025