Time Series Analysis

STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization AAAI 2021 Subseasonal climate prediction in the western US using Bayesian spatial models UAI 2021 Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting AAAI 2021 TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data IJCAI 2021 Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting AAAI 2021 The Multi-Temporal Urban Development SpaceNet Dataset CVPR 2021 Time-Aware Multi-Scale RNNs for Time Series Modeling IJCAI 2021 Time Series Anomaly Detection with Multiresolution Ensemble Decoding AAAI 2021 Time Series Data Augmentation for Deep Learning: A Survey IJCAI 2021 Time Series Domain Adaptation via Sparse Associative Structure Alignment AAAI 2021 TODS: An Automated Time Series Outlier Detection System AAAI 2021 Topological Attention for Time Series Forecasting NeurIPS 2021 Two Birds with One Stone: Series Saliency for Accurate and Interpretable Multivariate Time Series Forecasting IJCAI 2021 Uncertain Time Series Classification IJCAI 2021 Using Transposed Convolution for Articulatory-to-Acoustic Conversion from Real-Time MRI Data Interspeech 2021 When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting NeurIPS 2021 Whittle Networks: A Deep Likelihood Model for Time Series ICML 2021 Written Justifications are Key to Aggregate Crowdsourced Forecasts EMNLP 2021 Adversarial Dynamic Shapelet Networks AAAI 2020 Adversarial Sparse Transformer for Time Series Forecasting NeurIPS 2020 A Finite-Sample Deviation Bound for Stable Autoregressive Processes L4DC 2020 An efficient representation of chronological events in medical texts EMNLP 2020 A New Attention Mechanism to Classify Multivariate Time Series IJCAI 2020 A New Class of Time Dependent Latent Factor Models with Applications JMLR 2020 Annotating Temporal Dependency Graphs via Crowdsourcing EMNLP 2020