Time Series

Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series NeurIPS 2024 Large Pre-trained time series models for cross-domain Time series analysis tasks NeurIPS 2024 Latent Diffusion Transformer for Probabilistic Time Series Forecasting AAAI 2024 Learning Causal Relations from Subsampled Time Series with Two Time-Slices ICML 2024 Learning from Highly Sparse Spatio-temporal Data NeurIPS 2024 Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context AAAI 2024 ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting AAAI 2024 MOMENT: A Family of Open Time-series Foundation Models ICML 2024 MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting AAAI 2024 MULTICOLLAB: A Multimodal Corpus of Dialogues for Analyzing Collaboration and Frustration in Language COLING 2024 Multivariate Probabilistic Time Series Forecasting with Correlated Errors NeurIPS 2024 Neural McKean-Vlasov Processes: Distributional Dependence in Diffusion Processes AISTATS 2024 Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks ICML 2024 NLP for Digital Humanities: Processing Chronological Text Corpora EMNLP 2024 Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models NeurIPS 2024 Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract) AAAI 2024 Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows IJCAI 2024 Reinforced Cross-Domain Knowledge Distillation on Time Series Data NeurIPS 2024 Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast ICML 2024 Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective NeurIPS 2024 SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series NeurIPS 2024 SDformer: Transformer with Spectral Filter and Dynamic Attention for Multivariate Time Series Long-term Forecasting IJCAI 2024 Sequential Modeling of Complex Marine Navigation: Case Study on a Passenger Vessel (Student Abstract) AAAI 2024 SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation AAAI 2024 SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion NeurIPS 2024