Time Series Analysis

ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting AAAI 2024 MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting AAAI 2024 Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions ICML 2024 Multi-resolution Time-Series Transformer for Long-term Forecasting AISTATS 2024 Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract) AAAI 2024 Multivariate Probabilistic Time Series Forecasting with Correlated Errors NeurIPS 2024 Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees AISTATS 2024 Multivariate Time-Series Imagification with Time Embedding in Constrained Environments (Student Abstract) AAAI 2024 Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Sensor Data MLHC 2024 Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences IJCAI 2024 Neural Persistence Dynamics NeurIPS 2024 Non-parametric Online Change Point Detection on Riemannian Manifolds ICML 2024 Nowcasting Temporal Trends Using Indirect Surveys AAAI 2024 On the Identifiability of Switching Dynamical Systems ICML 2024 Optimistic Search: Change Point Estimation for Large-scale Data via Adaptive Logarithmic Queries JMLR 2024 Out-of-Domain Generalization in Dynamical Systems Reconstruction ICML 2024 Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting NeurIPS 2024 Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis NeurIPS 2024 PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting NeurIPS 2024 Probabilistic reconciliation of mixed-type hierarchical time series UAI 2024 ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons NeurIPS 2024 Recurrent Concept Drifts on Data Streams IJCAI 2024 Reinforced Cross-Domain Knowledge Distillation on Time Series Data NeurIPS 2024 Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators ICLR 2024 Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting NeurIPS 2024