conftrace_

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

Partial Correlation-Based Attention for Multivariate Time Series Forecasting AAAI 2020
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values AAAI 2020
Towards Better Forecasting by Fusing Near and Distant Future Visions AAAI 2020
Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval AAAI 2020
A New Attention Mechanism to Classify Multivariate Time Series IJCAI 2020
An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage Systems IJCAI 2020
Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models L4DC 2020
TapNet: Multivariate Time Series Classification with Attentional Prototypical Network AAAI 2020
Normalizing Kalman Filters for Multivariate Time Series Analysis NIPS 2020
Neural Controlled Differential Equations for Irregular Time Series NIPS 2020
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series AAAI 2020
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series IJCAI 2020
Explainable Deep Neural Networks for Multivariate Time Series Predictions IJCAI 2019
Unsupervised Scalable Representation Learning for Multivariate Time Series NIPS 2019
E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation IJCAI 2019
Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders ACML 2019
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes NIPS 2019
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes NIPS 2019
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data AAAI 2019
Multivariate Bayesian Structural Time Series Model JMLR 2018
Toeplitz Inverse Covariance-based Clustering of Multivariate Time Series Data IJCAI 2018
Predicting Complex Activities from Ongoing Multivariate Time Series IJCAI 2018
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care ICML 2018
Forward-Backward Splitting for Time-Varying Graphical Models PGM 2018
Multivariate Time Series Imputation with Generative Adversarial Networks NIPS 2018