multivariate time series

Context-dependent Networks in Multivariate Time Series: Models, Methods, and Risk Bounds in High Dimensions JMLR 2021 Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data IJCAI 2021 Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021 Generative Semi-supervised Learning for Multivariate Time Series Imputation AAAI 2021 Graph Neural Network-Based Anomaly Detection in Multivariate Time Series AAAI 2021 Interpretable Models for Granger Causality Using Self-explaining Neural Networks ICLR 2021 Learn to Predict Vertical Track Irregularity with Extremely Imbalanced Data ACML 2021 Memory-Gated Recurrent Networks AAAI 2021 Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows ICLR 2021 Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks IJCAI 2021 Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections ICLR 2021 ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification AAAI 2021 Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting AAAI 2021 An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage Systems IJCAI 2020 A New Attention Mechanism to Classify Multivariate Time Series IJCAI 2020 Deep Unsupervised Binary Coding Networks for Multivariate Time Series Retrieval AAAI 2020 Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests NeurIPS 2020 Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values AAAI 2020 Neural Controlled Differential Equations for Irregular Time Series NeurIPS 2020 Normalizing Kalman Filters for Multivariate Time Series Analysis NeurIPS 2020 Partial Correlation-Based Attention for Multivariate Time Series Forecasting AAAI 2020 Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models L4DC 2020 Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting NeurIPS 2020 TapNet: Multivariate Time Series Classification with Attentional Prototypical Network AAAI 2020 Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series AAAI 2020