Time Series Analysis

Location Predicts You: Location Prediction via Bi-direction Speculation and Dual-level Association IJCAI 2021 Memory-Gated Recurrent Networks AAAI 2021 Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting AAAI 2021 Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling IJCAI 2021 Multi-stream based marked point process ACML 2021 Multi-version Tensor Completion for Time-delayed Spatio-temporal Data IJCAI 2021 Neural Flows: Efficient Alternative to Neural ODEs NeurIPS 2021 Neural Temporal Point Processes: A Review IJCAI 2021 Offline detection of change-points in the mean for stationary graph signals. AISTATS 2021 Online false discovery rate control for anomaly detection in time series NeurIPS 2021 Ordinal Historical Dependence in Graphical Event Models with Tree Representations AAAI 2021 Outlier Impact Characterization for Time Series Data AAAI 2021 Policy Analysis using Synthetic Controls in Continuous-Time ICML 2021 Predictive Agent-Based Modeling of Natural Disasters Using Machine Learning AAAI 2021 Probabilistic Forecasting: A Level-Set Approach NeurIPS 2021 Probabilistic Sequential Matrix Factorization AISTATS 2021 Probability Paths and the Structure of Predictions over Time NeurIPS 2021 RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data EMNLP 2021 ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification AAAI 2021 SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data ICML 2021 Single and Multiple Change-Point Detection with Differential Privacy JMLR 2021 Size-Invariant Detection of Marine Vessels From Visual Time Series WACV 2021 Spectral embedding for dynamic networks with stability guarantees NeurIPS 2021 Statistically and Computationally Efficient Change Point Localization in Regression Settings JMLR 2021 Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19 AAAI 2021