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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

TAIL-MIL: Time-Aware and Instance-Learnable Multiple Instance Learning for Multivariate Time Series Anomaly Detection AAAI 2025
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting AAAI 2025
Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection AAAI 2025
Dynamic Higher-Order Relations and Event-Driven Temporal Modeling for Stock Price Forecasting IJCAI 2025
Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment AAAI 2025
FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting AAAI 2025
MMNet: Missing-Aware and Memory-Enhanced Network for Multivariate Time Series Imputation IJCAI 2025
HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting AAAI 2025
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality AAAI 2025
MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification AAAI 2025
Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios AAAI 2025
State Feedback Enhanced Graph Differential Equations for Multivariate Time Series Forecasting IJCAI 2025
Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes IJCAI 2025
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence AAAI 2024
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting AAAI 2024
Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics NIPS 2024
Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees AISTATS 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NIPS 2024
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables NIPS 2024
Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting AAAI 2024
Frequency-aware Generative Models for Multivariate Time Series Imputation NIPS 2024
Multivariate Probabilistic Time Series Forecasting with Correlated Errors NIPS 2024
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation IJCAI 2024
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data AAAI 2024
SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series NIPS 2024