Time Series Analysis

Identifiability of total effects from abstractions of time series causal graphs UAI 2024 Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past JMLR 2024 Identifying Spatio-Temporal Drivers of Extreme Events NeurIPS 2024 Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities NeurIPS 2024 IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers AAAI 2024 Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking NeurIPS 2024 Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract) AAAI 2024 Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series NeurIPS 2024 Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection IJCAI 2024 Large Language Models for Time Series: A Survey IJCAI 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 from Highly Sparse Spatio-temporal Data NeurIPS 2024 Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series ICML 2024 Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise AAAI 2024 LeRet: Language-Empowered Retentive Network for Time Series Forecasting IJCAI 2024 Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference ICML 2024 Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer ICML 2024 Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data ICLR 2024 Low-Rank Matrix Estimation in the Presence of Change-Points JMLR 2024 LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting ACL 2024 Membership Inference Attacks Against Time-Series Models ACML 2024 MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series ICML 2024 Mixture-of-Linear-Experts for Long-term Time Series Forecasting AISTATS 2024 Model Assessment and Selection under Temporal Distribution Shift ICML 2024