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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

Change point detection and inference in multivariate non-parametric models under mixing conditions NIPS 2023
Multivariate Times Series Classification Using Multichannel CNN IJCAI 2022
Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks NIPS 2022
Joint Classification and Trajectory Regression of Online Handwriting Using a Multi-Task Learning Approach WACV 2022
A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification IJCAI 2022
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting IJCAI 2022
Balanced Spatial-Temporal Graph Structure Learning for Multivariate Time Series Forecasting: A Trade-off between Efficiency and Flexibility ACML 2022
GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning IJCAI 2022
Predictive Maintenance for General Aviation Using Convolutional Transformers AAAI 2022
Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN) NIPS 2022
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting AAAI 2022
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection ICML 2022
Latent Temporal Flows for Multivariate Analysis of Wearables Data MLHC 2022
TACTiS: Transformer-Attentional Copulas for Time Series ICML 2022
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series AAAI 2021
Change Point Detection via Multivariate Singular Spectrum Analysis NIPS 2021
Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data IJCAI 2021
ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification AAAI 2021
Learn to Predict Vertical Track Irregularity with Extremely Imbalanced Data ACML 2021
Generative Semi-supervised Learning for Multivariate Time Series Imputation AAAI 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting ICML 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting AAAI 2021
Context-dependent Networks in Multivariate Time Series: Models, Methods, and Risk Bounds in High Dimensions JMLR 2021
Memory-Gated Recurrent Networks AAAI 2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021