Time Series Analysis

Correlative Channel-Aware Fusion for Multi-View Time Series Classification AAAI 2021 CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation NeurIPS 2021 Decoupling dynamics and sampling: RNNs for unevenly sampled data and flexible online predictions L4DC 2021 DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting AAAI 2021 Dynamical Wasserstein Barycenters for Time-series Modeling NeurIPS 2021 Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021 Dynamic Tensor Recommender Systems JMLR 2021 Explaining Time Series Predictions with Dynamic Masks ICML 2021 Fairness in Forecasting and Learning Linear Dynamical Systems AAAI 2021 Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection AAAI 2021 FinQA: A Dataset of Numerical Reasoning over Financial Data EMNLP 2021 From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction JMLR 2021 Fully Exploiting Cascade Graphs for Real-time Forwarding Prediction AAAI 2021 Generative Semi-supervised Learning for Multivariate Time Series Imputation AAAI 2021 Graph Gamma Process Linear Dynamical Systems AISTATS 2021 GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting AAAI 2021 Hierarchical Adaptive Temporal-Relational Modeling for Stock Trend Prediction IJCAI 2021 Independent Innovation Analysis for Nonlinear Vector Autoregressive Process AISTATS 2021 Inferring serial correlation with dynamic backgrounds ICML 2021 Joint-Label Learning by Dual Augmentation for Time Series Classification AAAI 2021 Learnable Dynamic Temporal Pooling for Time Series Classification AAAI 2021 Learning Discriminative Prototypes With Dynamic Time Warping CVPR 2021 Learning from Censored and Dependent Data: The case of Linear Dynamics COLT 2021 Learn to Predict Vertical Track Irregularity with Extremely Imbalanced Data ACML 2021 Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models NeurIPS 2021